Relevant bibliographies by topics / Posel

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Posel'

Author: Grafiati
Published: 4 June 2021
Last updated: 3 February 2022

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Journal articles on the topic "Posel"

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Vojvodík, Josef. "Posel, překladatel, interpret? Emil Saudek a Otokar Březina: mezi překladem a exegezí." Svět literatury 30, no. 62 (October 15, 2020): 9–26. http://dx.doi.org/10.14712/23366729.2020.2.1.

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Šulak, Tanja. "Sklenimo posel z vladarji znanja: učna pogodba. GV Izobraževanje, Ljubljana, 2003 Brečko, Daniela." Andragoška spoznanja 9, no. 2 (December 1, 2003): 77–78. http://dx.doi.org/10.4312/as.9.2.77-78.

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Becker, Rayda. "A history of the University of the Witwatersrand Art Galleries (Gertrude Posel Gallery)." de arte 35, no. 61 (April 2000): 95–100. http://dx.doi.org/10.1080/00043389.2000.11761309.

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Defant, Colin. "Poset pattern-avoidance problems posed by Yakoubov." Journal of Combinatorics 9, no. 2 (2018): 233–57. http://dx.doi.org/10.4310/joc.2018.v9.n2.a2.

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Denis, Philippe. "New Patterns of Disclosure: How HIV-Positive Support Group Members from KwaZulu-Natal Speak of their Status in Oral Narratives." Medical History 58, no. 2 (April 2014): 278–97. http://dx.doi.org/10.1017/mdh.2014.23.

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AbstractThis paper examines the representations and emotions associated with disclosure and stigma in Pietermaritzburg, KwaZulu-Natal, seven years after the start of the South African government’s ARV roll-out programme on the basis of in-depth oral history interviews of HIV-positive support group members. It argues that the wider availability of ARV treatment, the ensuing reduced fatality rate and the increased number of people, including men, who receive counselling and testing, may mean that HIV/AIDS is less stigmatised and that disclosure has become easier. This does not mean that stigma has disappeared and that the confusion created by competing world-views and belief systems has dissipated. Yet the situation of extreme denial and ideological confusion observed, for example, by Deborah Posel and her colleagues in 2003 and 2004 in the Mpumalanga province seems to have lessened. The interviews hint at the possibility that people living with HIV may have, more than a decade before, a language to express the emotions and feelings associated with HIV/AIDS. They were also found to be more assertive in matters of gender relations. These new attitudes would make disclosure easier and stigma more likely to recede.
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ZHONG, SHIJUN, and ALEXANDER D. MACKERELL. "POSE SCALING: GEOMETRICAL ASSESSMENT OF LIGAND BINDING POSES." Journal of Theoretical and Computational Chemistry 07, no. 04 (August 2008): 833–52. http://dx.doi.org/10.1142/s0219633608004155.

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A descriptor, the pose scaling factor, is proposed to quantitatively evaluate the geometrical match between a ligand and a target binding site. The pose scaling factor can be used to readily rank results of target-based in silico database screening or docking on large numbers of compounds. Such an approach will be of utility in the development and refinement of docking algorithms.
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Karim, A., A. Waibel, and A. Lechler. "Experimentelle Posenanalyse am Bearbeitungsroboter*/Pose dependancy of machining robots." wt Werkstattstechnik online 106, no. 05 (2016): 347–53. http://dx.doi.org/10.37544/1436-4980-2016-05-61.

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Die Verbesserung der Bearbeitungsqualität stellt einen aktuellen Forschungsschwerpunkt bei der spanenden Bearbeitung mit Industrierobotern dar. Dabei hängt die Bearbeitungsqualität des Werkstücks wesentlich von der eingenommenen Pose des Roboters ab. Der Fachbeitrag stellt die Durchführung einer experimentellen Analyse zur Bestimmung der Bearbeitungsqualität in unterschiedlichen Posen vor. Erste Ergebnisse werden ebenfalls präsentiert.   The improvement of machining quality is an actual focus of research in the area of machining with industrial robots. The machining quality that can be achieved is strongly dependant on the robot‘s pose. In the course of this paper the execution of experimental analysis for the determination of machining quality at different poses as well as first results are presented.
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Zhou, Desen, and Qian He. "PoSeg: Pose-Aware Refinement Network for Human Instance Segmentation." IEEE Access 8 (2020): 15007–16. http://dx.doi.org/10.1109/access.2020.2967147.

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Moodie, T. Dunbar. "Apartheid in the 1950s - The Making of Apartheid, 1948–1961: Conflict and Compromise. By Deborah Posel. (Oxford Studies in African Affairs.) Oxford: Clarendon Press, 1991. Pp. xii+297. £37.50." Journal of African History 34, no. 1 (March 1993): 174–75. http://dx.doi.org/10.1017/s0021853700033247.

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Guo, Fangtai, Zaixing He, Shuyou Zhang, and Xinyue Zhao. "Estimation of 3D human hand poses with structured pose prior." IET Computer Vision 13, no. 8 (December 2019): 683–90. http://dx.doi.org/10.1049/iet-cvi.2018.5480.

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Dissertations / Theses on the topic "Posel"

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Tokunaga, Daniel Makoto. "Local pose estimation of feature points for object based augmented reality." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/3/3141/tde-22092016-110832/.

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Usage of real objects as links between real and virtual information is one key aspect in augmented reality. A central issue to achieve this link is the estimation of the visuospatial information of the observed object, or in other words, estimating the object pose. Different objects can have different behaviors when used for interaction. This not only encompasses changes in position, but also folding or deformations. Traditional researches in the area solve those pose estimation problems using different approaches, depending on the type of the object. Additionally, some researches are based only on positional information of observed feature points, simplifying the object information. In this work, we explore the pose estimation of different objects by gathering more information from the observed feature points, and obtaining the local poses of such points, which are not explored in other researches. We apply this local pose estimation idea in two different capturing scenarios, reaching two novel approaches of pose estimation: one based on RGB-D cameras, and another based on RGB and machine learning methods. In the RGB-D based approach, we use the feature point orientation and near surface to obtain its normal; then, find the local 6 degrees-of-freedom (DoF) pose. This approach gives us not only the rigid object pose, but also the approximated pose of deformed objects. On the other hand, our RGB based approach explores machine learning with local appearance changes. Unlike other RGB based works, we replace the complex non-linear systems solvers with a fast and robust method, reaching local rotation of the observed feature points, as well as, full 6 DoF rigid object pose with dramatically lower real-time calculation demands. Both approaches show us that gathering local poses can bring information for the pose estimation of different types of objects.
O uso de objetos reais como meio de conexão entre informações reais e virtuais é um aspecto chave dentro da realidade aumentada. Uma questão central para tal conexão é a estimativa de informações visuo-espaciais do objeto, ou em outras palavras, a detecção da pose do objeto. Diferentes objetos podem ter diferentes comportamentos quando utilizados em interações. Não somente incluindo a mudança de posição, mas também sendo dobradas ou deformadas. Pesquisas tradicionais solucionam tais problemas de detecção usando diferentes abordagens, dependendo do tipo de objeto. Adicionalmente, algumas pesquisas se baseiam somente na informação posicional dos pontos de interesse, simplificando a informação do objeto. Neste trabalho, a detecção de pose de diferente objetos é explorada coletando-se mais informações dos pontos de interesse observados e, por sua vez, obtendo as poses locais de tais pontos, poses que não são exploradas em outras pesquisas. Este conceito da detecção de pose locais é aplicada em dois ambientes de capturas, estendendo-se em duas abordagens inovadoras: uma baseada em câmeras RGB-D, e outra baseada em câmeras RGB e métodos de aprendizado de maquinas. Na abordagem baseada em RGB-D, a orientação e superfície ao redor do ponto de interesse são utilizadas para obter a normal do ponto. Através de tais informações a pose local é obtida. Esta abordagem não só permite a obtenção de poses de objetos rígidos, mas também a pose aproximada de objetos deformáveis. Por outro lado, a abordagem baseada em RGB explora o aprendizado de máquina aplicado em alterações das aparências locais. Diferentemente de outros trabalhos baseados em câmeras RGB, esta abordagem substitui solucionadores não lineares complexos com um método rápido e robusto, permitindo a obtenção de rotações locais dos pontos de interesse, assim como, a pose completa (com 6 graus-de-liberdade) de objetos rígidos, com uma demanda computacional muito menor para cálculos em tempo-real. Ambas as abordagens mostram que a coleta de poses locais podem gerar informações para a detecção de poses de diferentes tipos de objetos.
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Schutte, Christoph. "Die Königliche Akademie in Posen (1903-1919) und andere kulturelle Einrichtungen im Rahmen der Politik zur "Hebung des Deutschtums" /." Marburg : Verl. Herder-Institut, 2008. http://d-nb.info/987276190/04.

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Wahlberg, Fredrik. "Partizan Poset Games." Thesis, KTH, Matematik (Avd.), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-149180.

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This thesis analyzes a class of element-removal partizan games played on colored posets. In these games a player moves by removing an element of its color together with all greater elements in the poset. A player loses if it has no elements left to remove. It is shown that all such games are numbers and that the dominating game options are to remove elements not lower than any other element of the same color. In particular, the thesis concerns games played on posets that are chess-colored Young diagrams. It is shown that it is easy to compute the value for any such game with < 3 rows by proving a proposed formula for computing the value.
I den här uppsatsen analyseras en klass av partiska spel som spelas på färgade pomängder. Spelen spelas i omgångar mellan två spelare där spelaren under sin tur väljer ut ett element i pomängden som är i spelarens färg och avlägsnar det elementet och alla större element i pomängden. En spelare förlorar om den inte längre har något element att avlägsna. I uppsatsen visas det att alla sådana spel är tal och att de dominerande spelalternativen är att avlägsna element som inte är mindre än något annat element av samma färg. I synnerhet fokuserar denna uppsats på spel som spelas på pomängder som är schackfärgade Young-diagram. Det visas att det är lätt att beräkna värdet på alla sådana spel med < 3 rader genom att bevisa en föreslagen formel för att räkna ut värdet.
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Vaněk, Vojtěch. "Popel v očích." Master's thesis, Vysoké učení technické v Brně. Fakulta výtvarných umění, 2011. http://www.nusl.cz/ntk/nusl-232320.

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Ramakrishna, Varun N. "Pose Machines: Estimating Articulated Pose in Images and Video." Research Showcase @ CMU, 2015. http://repository.cmu.edu/dissertations/627.

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The articulated motion of humans is varied and complex. We use the range of motion of our articulated structure for functional tasks such as transport, manipulation, communication, and self-expression. We use our limbs to gesture and signal intent. It is therefore crucial for an autonomous system operating and interacting in human environments to be able to reason about human behavior in natural, unconstrained settings. This requires reliably extracting compact representations of behavior from possibly noisy sensors in a computationally efficient manner. The goal of this thesis is to develop computational methods for extracting compact keypoint representations of human pose from unconstrained and uncontrolled real-world images and video. Estimating articulated human pose from unconstrained images is an extremely challenging task due to complexity arising from the large number of kinematic degrees of freedom of the human body, large appearance and viewpoint variability, imaging artifacts and the inherent ambiguity when reasoning about three dimensional objects from two dimensional images. A core characteristic of the problem is the trade-off between the complexity of the human pose model used and the tractability of drawing inferences from it: as we increase model fidelity by either incorporating structural and physical constraints or making fewer limiting assumptions, the problem of searching for the optimal pose configuration becomes increasingly difficult and intractable. Cognizant of this trade-off, in this thesis, we develop methods to reason about articulated human pose from single images by developing a modular sequential prediction framework called a Pose Machine. Pose Machines reduce the structured prediction problem of articulated pose estimation to supervised multi-class classification. The modular framework allows for integrating the latest advances in supervised prediction, incorporates informative cues across multiple resolutions, learns rich implicit spatial models by making fewer limiting assumptions, handles large real-world datasets, and can be trained in an end-to-end manner. Additionally we develop methods for estimating pose from image sequences and reconstructing pose in three dimensions by finding tractable substructures to incorporate physicial and structural constraints while maintaining tractability.
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Moura, Allan de Oliveira. "Dualidade em espaços poset." [s.n.], 2010. http://repositorio.unicamp.br/jspui/handle/REPOSIP/305916.

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Orientador: Marcelo Firer
Tese (doutorado) - Universidade Estadual de Campinas, Instituto de Matematica, Estatistica e Computação Cientifica
Made available in DSpace on 2018-08-15T01:48:53Z (GMT). No. of bitstreams: 1 Moura_AllandeOliveira1_D.pdf: 766044 bytes, checksum: e752134a3aa77aa9bf3559d18a7f0a12 (MD5) Previous issue date: 2010
Resumo: Considerando uma generalização da métrica de Hamming, a métrica ponderada por uma ordem parcial, fazemos uma descrição sistemática para os espaços com a métrica ponderada, dando ênfase aos códigos poset e à hierarquia de pesos contextualizada nesse novo ambiente. Técnicas de multiconjunto, para códigos ponderados, são utilizadas para estender o Teorema da Dualidade de Wei, uma relação entre as hierarquias do código e do seu dual. Como consequência desta Dualidade estendemos certos resultados sobre a discrepância, códigos MDS e uma relação entre a condição cadeia do código e do seu dual.
Abstract: Considering a generalization of the Hamming metric, the metric weighted by a partial order, we make a systematic description of the spaces with those metrics, emphasizing poset codes and the weight hierarchy of weights of those codes. Techniques of multiset, for weighted codes, are used to extend the Duality Theorem of Wei, a relationship between the hierarchy of a code and its dual. As a consequence of Duality we extend some results about the discrepancy, MDS codes and a relationship between a chain code and its dual.
Doutorado
Matematica
Doutor em Matemática
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Jakub, Nilsson. "Pose AR: Assessing Pose Based Input in an AR Context." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-89228.

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Despite the rapidly growing adoption of augmented reality (AR) applications, existing methods for interacting with AR content are rated poorly, with surveyors of the area calling for better means of interaction, while researchers strive to create more natural input methods, mainly focusing on gesture input. This thesis aims to contribute to the aforementioned efforts by recognizing that technologies for consumer-grade smartphone-based pose estimation have been rapidly improving in recent years and due to their increased accuracy may have untapped potential ready to be utilized for user input. To this end, a rudimentary system for pose based input is integrated into prototype applications, which are constructed with both pose based input and touch input in mind. In this work, pose, pose estimation, and posed based input refer to using the distance and orientation of the user (or more precisely, the distance and orientation of their device) in relation to the AR content. Using said prototypes within a user interaction study allowed the identification of user preferences which indicate the approaches that future efforts into utilizing pose for input in an AR context ought to adopt. By comparing questionnaire answers and logged positional data across four prototype scenarios, it can be clearly identified that to perceive pose input as intuitive, the AR experiences shouldn’t employ a scale which is so large that it requires substantial shifts in the position of the user, as opposed to merely shifts in the position of the user’s device.
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Rosenhahn, Bodo. "Pose estimation revisited." Kiel Inst. für Informatik und Praktische Mathematik, 2003. http://e-diss.uni-kiel.de/diss_842/d842.pdf.

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Weill, Georges Secret François. "Vie et caractère de Guillaume Postel /." Milano : Archè, 1987. http://catalogue.bnf.fr/ark:/12148/cb354699955.

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Dyroff, Stefan Dyroff Stefan. "Erinnerungskultur im deutsch-polnischen Kontaktbereich : Bromberg und der Nordosten der Provinz Posen (Wojewodschaft Poznań) : 1871 - 1939." Osnabrück Fibre-Verl, 2007. http://deposit.d-nb.de/cgi-bin/dokserv?id=2841811&prov=M&dokv̲ar=1&doke̲xt=htm.

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Books on the topic "Posel"

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Smoljak, Ladislav. Posel z Liptákova. V Praze: Paseka, 1992.

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Law, Jennifer. Sympathetic magic: Penny Siopis at the Gertrude Posel Gallery, University of the Witwatersrand 2002. [Johannesburg: University of the Witwatersrand, 2002.

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Dederer, Claire. Poser: My life in twenty-three yoga poses. New York: Farrar, Straus and Giroux, 2011.

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Dederer, Claire. Poser: My life in twenty-three yoga poses. London: Bloomsbury, 2012.

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Poser. Victoria, B.C: Orca Book Publishers, 2013.

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Cronenberg, Caitlin. POSER. Toronto: CMC Publications, 2010.

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Wyshynski, Sue. Poser. New York: Walker & Co., 2010.

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Povel. New York: Fence Books, 2005.

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Olmos, Alberto. Pose. Segovia: Ediciones La Uña Rota, 2012.

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Kryptonim Posen. Poznań: Media Rodzina, 2011.

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Book chapters on the topic "Posel"

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Oshita, Masaki, Kei Yamamura, and Aoi Honda. "Expressive Human Pose Deformation Based on the Rules of Attractive Poses." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 162–71. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76908-0_16.

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Bhattacharjee, Avishek, Samik Banerjee, and Sukhendu Das. "PosIX-GAN: Generating Multiple Poses Using GAN for Pose-Invariant Face Recognition." In Lecture Notes in Computer Science, 427–43. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11015-4_31.

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Harima, Tadahito, Toshiaki Maeno, Hideaki Morita, Yasuhide Numata, Akihito Wachi, and Junzo Watanabe. "Poset Theory." In The Lefschetz Properties, 1–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38206-2_1.

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Firer, Marcelo, Marcelo Muniz S. Alves, Jerry Anderson Pinheiro, and Luciano Panek. "Poset Metrics." In Poset Codes: Partial Orders, Metrics and Coding Theory, 19–38. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93821-9_2.

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Comacchi, Maria Vittoria. "Postel, Guillaume." In Encyclopedia of Renaissance Philosophy, 1–7. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-02848-4_655-1.

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Zhang, Zhengyou. "Camera Pose." In Computer Vision, 85. Boston, MA: Springer US, 2014. http://dx.doi.org/10.1007/978-0-387-31439-6_153.

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Schall, Gerhard. "Pose tracking." In Mobile Augmented Reality for Human Scale Interaction with Geospatial Models, 85–127. Wiesbaden: Springer Fachmedien Wiesbaden, 2012. http://dx.doi.org/10.1007/978-3-658-00197-1_6.

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Sarikas, Olivio. "Vivid Pose." In UNI*VERS, 187–98. Vienna: Springer Vienna, 2010. http://dx.doi.org/10.1007/978-3-211-99285-2_12.

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Blake, Andrew, and Michael Isard. "Pose recovery." In Active Contours, 141–56. London: Springer London, 1998. http://dx.doi.org/10.1007/978-1-4471-1555-7_7.

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Mukherjee, Snehasis, Sujoy Kumar Biswas, and Dipti Prasad Mukherjee. "Modeling Sense Disambiguation of Human Pose: Recognizing Action at a Distance by Key Poses." In Computer Vision – ACCV 2010, 244–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19315-6_19.

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Conference papers on the topic "Posel"

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Wang, Min, Xipeng Chen, Wentao Liu, Chen Qian, Liang Lin, and Lizhuang Ma. "DRPose3D: Depth Ranking in 3D Human Pose Estimation." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/136.

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In this paper, we propose a two-stage depth ranking based method (DRPose3D) to tackle the problem of 3D human pose estimation. Instead of accurate 3D positions, the depth ranking can be identified by human intuitively and learned using the deep neural network more easily by solving classification problems. Moreover, depth ranking contains rich 3D information. It prevents the 2D-to-3D pose regression in two-stage methods from being ill-posed. In our method, firstly, we design a Pairwise Ranking Convolutional Neural Network (PRCNN) to extract depth rankings of human joints from images. Secondly, a coarse-to-fine 3D Pose Network(DPNet) is proposed to estimate 3D poses from both depth rankings and 2D human joint locations. Additionally, to improve the generality of our model, we introduce a statistical method to augment depth rankings. Our approach outperforms the state-of-the-art methods in the Human3.6M benchmark for all three testing protocols, indicating that depth ranking is an essential geometric feature which can be learned to improve the 3D pose estimation.
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Zhao, Ping, Xin Ge, Bin Zi, and Q. J. Ge. "Planar Linkage Synthesis for Mixed Exact and Approximated Motion Realization via Kinematic Mapping." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-47231.

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It has been well established that kinematic mapping theory could be applied in mechanism synthesis area, where discrete motion approximation problem could be converted to surface fitting problem of a group of discrete points in hyperspace. In this paper, we applied kinematic mapping theory to planar discrete motion synthesis of an arbitrary number of approximated poses as well as up to four exact poses. A simultaneous type and dimensional synthesis approach for mixed exact and approximate motion realization problem for three types of planar dyad chains (RR, RP, PR) is presented. For all three types of dyads, N given approximated poses are utilized to formulate a general quadratic surface fitting problem in hyperspace, while up to four prescribed poses could be imposed as pose-constraint equations to this surface fitting system such that they could be exactly realized. The surface fitting problem is converted to a linear system with two quadratic constraint equations, which could be solved by null space analysis technique. On the other hand, the given exact poses are formulated as linear pose-constraint equations and added back to the system, where both type and dimensions of the resulting optimal dyads could be determined by the solution. These optimal dyads could then be implemented as different types of four-bar linkages or parallel manipulators. The result is a novel algorithm that is simple and efficient, which allows for N-pose motion approximation of planar dyads containing both revolute and prismatic joints, as well as handling of up to four prescribed poses to be realized precisely.
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Ma, Jiaxin, and Feng Zhou. "Multi-poses Face Frontalization based on Pose Weighted GAN." In 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC). IEEE, 2019. http://dx.doi.org/10.1109/itnec.2019.8729088.

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Sharma, Shashank, and Anurag Purwar. "Unified Motion Synthesis of Spatial Seven-Bar Platform Mechanisms and Planar-Four Bar Mechanisms." In ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22718.

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Abstract A unified motion generation algorithm that combines Spatial and Planar mechanism synthesis has been a hard problem in kinematics. In this paper, we present a new method to generate planar RRRR mechanisms and spatial 5-SS mechanisms using a unified algorithm. For a generalized spatial pose problem where all the poses fall on a plane, we show that there exist 1-∞ plane constraint solutions and 3-∞ planar-spherical solution dyads. We also show that for a spatial five pose problem where all poses lie on a plane, there exists a 2-∞ solution space of spherical and planar constraints. This multiplicity of solutions are intelligently constrained to find up to four circle constraints representing planar four-bar mechanism. Finally, examples are presented testing the proposed algorithm and verified using results from past publications.
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Liu, Chenchen, Yongzhi Li, Kangqi Ma, Duo Zhang, Peijun Bao, and Yadong Mu. "Learning 3-D Human Pose Estimation from Catadioptric Videos." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/118.

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3-D human pose estimation is a crucial step for understanding human actions. However, reliably capturing precise 3-D position of human joints is non-trivial and tedious. Current models often suffer from the scarcity of high-quality 3-D annotated training data. In this work, we explore a novel way of obtaining gigantic 3-D human pose data without manual annotations. In catedioptric videos (\emph{e.g.}, people dance before a mirror), the camera records both the original and mirrored human poses, which provides cues for estimating 3-D positions of human joints. Following this idea, we crawl a large-scale Dance-before-Mirror (DBM) video dataset, which is about 24 times larger than existing Human3.6M benchmark. Our technical insight is that, by jointly harnessing the epipolar geometry and human skeleton priors, 3-D joint estimation can boil down to an optimization problem over two sets of 2-D estimations. To our best knowledge, this represents the first work that collects high-quality 3-D human data via catadioptric systems. We have conducted comprehensive experiments on cross-scenario pose estimation and visualization analysis. The results strongly demonstrate the usefulness of our proposed DBM human poses.
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Jiang, Hao, and Kristen Grauman. "Seeing Invisible Poses: Estimating 3D Body Pose from Egocentric Video." In 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2017. http://dx.doi.org/10.1109/cvpr.2017.373.

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Huang, Siyu, Haoyi Xiong, Zhi-Qi Cheng, Qingzhong Wang, Xingran Zhou, Bihan Wen, Jun Huan, and Dejing Dou. "Generating Person Images with Appearance-aware Pose Stylizer." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/87.

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Generation of high-quality person images is challenging, due to the sophisticated entanglements among image factors, e.g., appearance, pose, foreground, background, local details, global structures, etc. In this paper, we present a novel end-to-end framework to generate realistic person images based on given person poses and appearances. The core of our framework is a novel generator called Appearance-aware Pose Stylizer (APS) which generates human images by coupling the target pose with the conditioned person appearance progressively. The framework is highly flexible and controllable by effectively decoupling various complex person image factors in the encoding phase, followed by re-coupling them in the decoding phase. In addition, we present a new normalization method named adaptive patch normalization, which enables region-specific normalization and shows a good performance when adopted in person image generation model. Experiments on two benchmark datasets show that our method is capable of generating visually appealing and realistic-looking results using arbitrary image and pose inputs.
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Wang, Zairan, Weiming Li, Yueying Kao, Dongqing Zou, Qiang Wang, Minsu Ahn, and Sunghoon Hong. "HCR-Net: A Hybrid of Classification and Regression Network for Object Pose Estimation." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/141.

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Object pose estimation from a single image is a fundamental and challenging problem in computer vision and robotics. Generally, current methods treat pose estimation as a classification or a regression problem. However, regression based methods usually suffer from the issue of imbalanced training data, while classification methods are difficult to discriminate nearby poses. In this paper, a hybrid CNN model, which we call it HCR-Net that integrates both a classification network and a regression network, is proposed to deal with these issues. Our model is inspired by that regression methods can get better accuracy on homogeneously distributed datasets while classification methods are more effective for coarse quantization of the poses even if the dataset is not well balanced. The classification methods and the regression methods essentially complement each other. Thus we integrate both them into a neural network in a hybrid fashion and train it end-to-end with two novel loss functions. As a result, our method surpass the state-of-the-art methods, even with imbalanced training data and much less data augmentation. The experimental results on the challenging Pascal3D+ database demonstrate that our method outperforms the state-of-the-arts significantly, achieving improvements on ACC and AVP metrics up to 4% and 6%, respectively.
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Tosun, Tarik, Ross Mead, and Robert Stengel. "A General Method for Kinematic Retargeting: Adapting Poses Between Humans and Robots." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-37700.

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This paper presents a method for kinematic retargeting that is general to a broad class of kinematic chains. Kinematic retargeting is the adaptation of a pose or motion from one kinematic embodiment to another. Our method distinguishes itself in its ability to adapt poses to new robots with very little configuration by the user. We accomplish this by defining two general metrics for retargeting and minimizing a cost function which is the weighted sum of these two metrics. This allows the method to automatically adapt poses between source and target chains that have different link lengths and degrees of freedom. These capabilities address a specific problem in Human-Robot Interaction (HRI), where behaviors are often defined in a robot-specific manner. The ability to automatically adapt behaviors from humans to new robots, and from one robot to another, will facilitate experimental repeatability. Through simulation and experiments, we demonstrate that our method is effective in adapting poses across chains with different numbers of joints, and in adapting socially expressive gestures from a human to two very different robots.
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Sharp, Andrew, Christina Petlowany, and Mitch Pryor. "Virtual Fixture Augmentation of Operator Selection of Non-Contact Material Reduction Task Paths." In 2018 26th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/icone26-82398.

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Decommissioning of nuclear systems and consolidation of resulting waste remains a major hurdle for the industry. The radioactive nature of nuclear waste makes manual handling unfeasible, while teleoperation and inflexible automation also have drawbacks. This effort utilizes virtual fixtures to augment path creation for non-contact material reduction tasks. It builds on previous Nuclear and Applied Robotics Group work with Variable Normal Surface Virtual Fixtures, which generate surfaces offset from task surfaces. Offset surfaces can then provide poses at a set orientation to task surfaces. Once the Variable Normal Surface Virtual Fixture is generated from task information, operators build a list of desired path poses. The Robot Operating System Descartes package takes the pose list and plans a smooth trajectory for task execution. Planar and cylindrical demonstrations based on experimental studies at the United Kingdom’s Sellafield site were performed. This methodology augments waste reduction by allowing flexible laser cutting routes.
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Reports on the topic "Posel"

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Carasso, Alfred S. Stable Explicit Time Marching in Well-Posed or Ill-Posed Nonlinear Parabolic Equations. National Institute of Standards and Technology, October 2014. http://dx.doi.org/10.6028/nist.ir.8027.

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Nashed, M. Z., and Paul P. Eggermont. Ill-Posed Problems and Integral Equations. Fort Belvoir, VA: Defense Technical Information Center, February 1988. http://dx.doi.org/10.21236/ada193709.

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Horowitz, Joel L. Ill-posed inverse problems in economics. Institute for Fiscal Studies, August 2013. http://dx.doi.org/10.1920/wp.cem.2013.3713.

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Beymer, David J. Face Recognition Under Varying Pose. Fort Belvoir, VA: Defense Technical Information Center, December 1993. http://dx.doi.org/10.21236/ada290205.

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Bissacco, Alessandro, Ming-Hsuan Yang, and Stefano Soatto. Detecting Humans via Their Pose. Fort Belvoir, VA: Defense Technical Information Center, January 2007. http://dx.doi.org/10.21236/ada478673.

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Fitzpatrick, Paul. Head Pose Estimation Without Manual Initialization. Fort Belvoir, VA: Defense Technical Information Center, January 2000. http://dx.doi.org/10.21236/ada434817.

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Brigola, R., and A. Keller. On Functional Estimates for Ill-Posed Linear Problems. Fort Belvoir, VA: Defense Technical Information Center, April 1988. http://dx.doi.org/10.21236/ada198004.

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ЛИЗИКОВА, М. С. ОБЕСПЕЧЕНИЕ БЕЗОПАСНОСТИ В ОБЛАСТИ ИСПОЛЬЗОВАНИЯ АТОМНОЙ ЭНЕРГИИ В УСЛОВИЯХ ПАНДЕМИИ: ПРАВОВЫЕ АСПЕКТЫ. DOI CODE, 2020. http://dx.doi.org/10.18411/0601-8976-2020-14414.

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In the article poses the problem of ensuring safety in the field of the use of atomic energy in the conditions of pandemia. Based on an analysis of measures taken by national regulatory organizations to ensure the safe operation of nuclear power plants during this period, as well as the activities of the IAEA and other international organizations to provide assistance to nuclear power plant operators and exchange experience on mitigating the impact of a pandemic on the nuclear industry and minimizing its consequences, it concluded on the necessity of comprehensive study of the problem posed, the lessons learned from the pandemic for nuclear energy, and multilateral cooperation to contain the pandemic and mitigate its consequences.
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Rosales, Romer, Vassilis Athitsos, Leonid Sigal, and Stan Sclaroff. 3D Hand Pose Reconstruction Using Specialized Mappings. Fort Belvoir, VA: Defense Technical Information Center, April 2001. http://dx.doi.org/10.21236/ada451286.

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Perkowski, Stefanie C. America's Food: Does Anthrax Pose A Threat? Fort Belvoir, VA: Defense Technical Information Center, April 2002. http://dx.doi.org/10.21236/ada420514.

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