Academic literature on the topic 'Disparida'
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Journal articles on the topic "Disparida"
Mao, Yingyan, Gary D. Webster, William I. Ausich, Yue Li, Qiulai Wang, and Mike Reich. "A new crinoid fauna from the Taiyuan Formation (early Permian) of Henan, North China." Journal of Paleontology 92, no. 6 (May 9, 2018): 1066–80. http://dx.doi.org/10.1017/jpa.2018.27.
Full textZamora, Samuel, Imran A. Rahman, and William I. Ausich. "Palaeogeographic implications of a new iocrinid crinoid (Disparida) from the Ordovician (Darriwillian) of Morocco." PeerJ 3 (December 7, 2015): e1450. http://dx.doi.org/10.7717/peerj.1450.
Full textDONOVAN, STEPHEN K., C. GILES MILLER, IVAN J. SANSOM, ALAN P. HEWARD, and JAN SCHREURS. "A Laurentian Iocrinus Hall (Crinoidea, Disparida) in the Dapingian or Darriwilian (Middle Ordovician, Arenig) of Oman." Palaeontology 54, no. 3 (May 2011): 525–33. http://dx.doi.org/10.1111/j.1475-4983.2011.01042.x.
Full textAusich, William I. "Early phylogeny and subclass division of the Crinoidea (Phylum Echinodermata)." Journal of Paleontology 72, no. 3 (May 1998): 499–510. http://dx.doi.org/10.1017/s0022336000024276.
Full textRozhnov, S. V. "Streptoiocrinus gen. nov. (Disparida, Crinoidea) from the Lower and Middle Ordovician of the Leningrad Region, and Fluctuating Asymmetry of Radial Symmetry." Paleontological Journal 54, no. 7 (December 2020): 704–14. http://dx.doi.org/10.1134/s0031030120070114.
Full textGuensburg, Thomas E. "Alphacrinus new genus and origin of the disparid clade." Journal of Paleontology 84, no. 6 (November 2010): 1209–16. http://dx.doi.org/10.1666/10-030.1.
Full textWebster, G. D., James W. Haggart, Carrie Saxifrage, Barry Saxifrage, Christian Gronau, and Aileen Douglas. "Globally significant Early Permian crinoids from the Mount Mark Formation in Strathcona Provincial Park, Vancouver Island, British Columbia — preliminary analysis of a disappearing fauna." Canadian Journal of Earth Sciences 46, no. 9 (September 2009): 663–74. http://dx.doi.org/10.1139/e09-039.
Full textWright, David F., William I. Ausich, Selina R. Cole, Mark E. Peter, and Elizabeth C. Rhenberg. "Phylogenetic taxonomy and classification of the Crinoidea (Echinodermata)." Journal of Paleontology 91, no. 4 (February 22, 2017): 829–46. http://dx.doi.org/10.1017/jpa.2016.142.
Full textPinarta, I. Putu Bayu, and I. Ketut Mertha. "PENGATURAN TINDAK PIDANA KORUPSI: ANALISIS DISPARITAS PENANGGULANGAN PENJATUHAN PIDANA DI INDONESIA." Kertha Semaya : Journal Ilmu Hukum 8, no. 10 (November 4, 2020): 1608. http://dx.doi.org/10.24843/ks.2020.v08.i10.p11.
Full textAznar-Casanova, José Antonio, and Germán Fernández Titos. "Modelos de computación de la disparidad binocular Computing models of the binocular disparity." Cognitiva 13, no. 1 (March 1, 2001): 97–122. http://dx.doi.org/10.1174/021435501753635604.
Full textDissertations / Theses on the topic "Disparida"
Tábi, Roman. "Výpočet mapy disparity ze stereo obrazu." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2017. http://www.nusl.cz/ntk/nusl-363903.
Full textMaggia, Christophe. "De la rétine binoculaire aux premiers étages du cortex visuel pour la perception visuelle tridimensionnelle : modèle et expérimentations oculométriques." Thesis, Grenoble, 2014. http://www.theses.fr/2014GRENS007/document.
Full textDepth vision or « 3D vision » can interpret tridimensional spatial relations between objects in a visual scene and gives humans a good precision of interaction with their environment. 3D vision uses several kinds of mechanisms to analyze visual signal. Some keep their power during a monocular stimulation (monocular depth cues) but others need a binocular stimulation (binocular depth cues). This thesis focuses on the binocular mechanism which uses the difference of point of view between the two eyes (also called retinal disparity). The work presented in this thesis follows two main approaches: the modeling of the retinal disparity extraction at the cortical level, and an experiment to analyze the influence of retinal disparity on visual attention during the exploration of natural stereoscopic scenes with eye tracking recording. The proposed model is built from physiologic data of primary visual cortex V1 found in the literature. Our model makes an estimation of the retinal disparity from modeled responses of simple and complex cells of V1. We take a bio-inspired approach at two levels. The first level concerns the global architecture of the organization and the interaction of cortical cells which extract the information at different spatial frequencies, orientations and disparities. The second level concerns the configuration of cortical cells implemented like spatial filters. The experimental part is subdivided into two parts. Indeed, the use of eye-tracking data of 3D scenes exploration needs a calibration step. Hence, we developed a 3D calibration method allowing us to track the depth of the gaze from the recorded binocular coordinates. Then, we analyze the influence of retinal disparity in the visual exploration of different categories of natural scenes based on the presence of monocular and binocular depth cues. The ocular dominance, the central bias and the depth bias are also studied in this paradigm. We show that a 2D saliency model is not adapted to predict the salient zone during 3D viewing but also during 2D viewing. The depth information must be integrated in saliency computation thanks to retinal disparity and monocular depth cues to explain fully the visual exploration both in 2D and 3D
Latorre, Daniel Varajão de. "Padrões macroecólogicos de disparidade morfológica e distribuição de massa de mamíferos terrestres." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/41/41134/tde-26102015-111843/.
Full textUnderstand the relation between species richness and ecological niche diversity might help to understand processes behind species coexistence. However, to quantify species niche is not easy and a ecomorfological approach is often used instead. Body mass is related to several life history traits such as metabolism, physiology, behaviour and ecology, thus being the ideal trait for studies comparing many different species and localities. In theory, increases in species richness could be attained by an expansion of total niche space or by niche packing, or even by a combination of both. Here we use terrestrial mammals body mass to investigate morphospace occupation and its relation to species richness in both local assemblages and continental biotas. In the first chapter, we investigate the spatial variation of morphological disparity of terrestrial mammals and its relation to species richness. We used species distributions of 4146 species to determine the composition of local assemblages in a grid of 1º cells. For each assemblage we measured four morphological disparity metrics using body mass as a surrogate of mammalian morphology. We compared the observed disparity measures for each cell with the expected distribution given by two null models (one global and other regional) that differ for the species pool used to perform resamples. In the second chapter we investigated the effect of megafauna extinctions and possible effects of ongoing extinctions on the body mass distribution of terrestrial mammals. Previous studies suggest that the body mass distribution of mammals became bimodal 40 million years ago and so remained until the end of the Pleistocene, when it was modified by megafauna extinction and became unimodal. We fitted two concurring models (a bimodal and a skewed unimodal) to the body mass distribution of global mammals and of each continent separately in tree time frames: Late Pleistocene, Holocene and Anthropocene. The results from both chapters, although from observation in different scales, suggest a pattern of niche packing on the Neotropics. This pattern is not biased by the recent megafauna extinction, but is due to the diversification of clades specific to the South American continent during its period of isolation. A high proportion of the species in these endemic groups is arboreal suggesting the importance of tropical forests in the diversification of mammals in this continent. Our results also suggest that the possible loss of endangered species in the Anthropocene will result in meaningful changes in Africa and Eurasia, two continents that where less affected by Pleistocene extinctions
Bergström, Joel. "Disparity Tool : A disparity estimaion program." Thesis, Mittuniversitetet, Institutionen för informationsteknologi och medier, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-12362.
Full textLertchuwongsa, Noppon. "Color Lines, and Regions and Their Stereo Matching." Thesis, Paris 11, 2011. http://www.theses.fr/2011PA112309.
Full textIn computer vision, salient points are essential features to algorithms. Performances depend on external parameters (e.g. illuminant). Similarity measures are central to recognition.To secure the processing efficiency, extracted features have to be stable enough, and the similarity measure needs to perfectly distinguish between them.In the thesis, joint geometrical and color features are studied: color lines and regions. They found the detection of a third one, range, that helps in turn to assess their goodness.Color lines are extensions of classical level lines: the 3 D color space is mapped onto a 1 D scale especially designed to retain the chromatic information where it is suitable.Regions require the usual image connectivity but in association with compactness in the bi-dimensional histogram stemming from the dichromatic model. The so-designed homogeneity is granting an a priori good robustness against illumination variations in separating the body colors and splitting color from intensity.The latter homogeneity gives raise to 2 methods for extracting compact sets around histogram modes: color first analysis (an analytic extraction of color local extrema) , and joint color/space analysis (same but controlled by the region growing).As for depth, 3 methods to compute the stereo disparity are proposed for their results to be confronted with the ground-truth:1. Color line matching based on a modified Hausdorff distance,2. Studying the shape of the disparity histogram between regions,3. Cooperation between pixel correlation and region matching.The robustness of the designed features is proved on several stereo pairs. Future work deals with improving efficacy and accuracy
Vieira, Gabriel da Silva. "Disparity map production: an architectural proposal and a refinement method design." Universidade Federal de Goiás, 2018. http://repositorio.bc.ufg.br/tede/handle/tede/9088.
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Outro
Disparity maps are key components of a stereo vision system. Autonomous navigation, 3D reconstruction, and mobility are examples of areas of research which use disparity maps as an important element. Although a lot of work has been done in the stereo vision field, it is not easy to build stereo systems with concepts such as reuse and extensible scope. In this study, we explore this gap and it presents a software architecture that can accommodate different stereo methods through a standard structure. Firstly, it introduces some scenarios that illustrate use cases of disparity maps and it shows a novel architecture that foments code reuse. A Disparity Computation Framework (DCF) is presented and we discuss how its components are structured. Then we developed a prototype which closely follows the proposal architecture and we prepared some test cases to be performed. Furthermore, we have implemented disparity methods for validation purposes and to evaluate our disparity refinement method. This refinement method, named as Segmented Consistency Check (SCC), was designed to increase the robustness of stereo matching algorithms. It consists of a segmentation process, statistical analysis of grouping areas and a support weighted function to find and to fill in unknown disparities. The experimental results show that the DCF can satisfy different scenarios on-demand. Besides, they show that SCC method is an efficient approach that can make some enhancements in disparity maps, as reducing the disparity error measure.
Mapas de disparidade são elementos cruciais em sistemas de visão estéreo. Navegação autônoma, reconstrução 3D e mobilidade são exemplos de área de pesquisa que utilizam mapas de disparidade como elementos-chave. Embora muitos trabalhos têm sido feitos na área de visão estéreo, ainda assim, não é trivial construir sistemas estéreos com aplicação de conceitos como reutilização e escopo extensível. Neste estudo, exploramos essa lacuna e apresentamos uma arquitetura de software capaz de acomodar diferentes métodos de visão estéreo através de uma estrutura bem definida. Inicialmente, cenários que ilustram usos de mapa de disparidade são introduzidos e uma arquitetura que fomenta reutilização de código é apresentada. Dessa forma, um Framework de Cálculo de Disparidade (FCD) é apresentado e seus componentes são discutidos a fim de especificar a sua estrutura. Em seguida, um protótipo que segue a arquitetura proposta é apresentado e alguns casos de teste são preparados e executados. Além disso, métodos de cálculo de disparidade foram implementados para propostas de validação e para avaliar o método de refinamento de disparidade proposto pelos autores. Esse método de refinamento, chamado de Checagem de Consistência de Segmento (CCS), foi projetado para aumentar a robustez de algoritmos de combinação estéreo. Trata-se de um método que utiliza um processo de segmentação preliminar, análise estatística de áreas definidas e função ponderada de suporte para encontrar e preencher disparidades marcadas como desconhecidas. Os resultados dos experimentos realizados apontam que o FCD pode satisfazer diferentes cenários sob demanda. Além disso, os resultados mostram que o método CCS é uma abordagem eficiente que pode trazer certos melhoramentos em mapas de disparidade, como reduzir a medida de erro no cálculo de correspondências estéreo.
Vavroš, Ondřej. "Měření vzdálenosti stereoskopickým senzorem." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2015. http://www.nusl.cz/ntk/nusl-220333.
Full textLaureano, Gustavo Teodoro. "Criação de mapas de disparidades empregando análise multi-resolução e agrupamento perceptual." Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/18/18152/tde-11042008-113516/.
Full textThis work aims to give a contribution to the correspondence problem using a local approach. Two strategies are used as solution to ambiguities and occlusions: the multi-resolution analysis with irnages pyramids and the other is the perceptual grouping weight, called Gestalt theory in the psychology. Inspired by human vision system, the stereo vision is an very important area in computer vision. It is related with the 3D information recovery from a pair of images. The images are captured frorn different positions to hereafter association of the 3D point projections. Although it has being studied for quite a long time, stereo vision presents some difficult problems, related to the change of visualisation perspective. Among the different problems originated from point of view changes, occlusions and ambiguities have special attention and compose the foundation of stereo problem, named correspondence problem. The results obtained were closer to the ones generated by global techniques, with the advantage of requiring less computational complexity. The use of Gestalt theory makes this a modern disparity estimation method, as this theory has been received special attention in computer vision researchs.
Lemstra, M. "Health Disparity in Saskatoon." [S.l.] : Rotterdam : [The Author] ; Erasmus University [Host], 2008. http://hdl.handle.net/1765/14117.
Full textWildes, Richard Patrick. "On interpreting stereo disparity." Thesis, Massachusetts Institute of Technology, 1989. http://hdl.handle.net/1721.1/17262.
Full textBooks on the topic "Disparida"
Dispara-teatro. Puebla, Pue. [Mexico]: Benemérita Universidad Autónoma de Puebla, Dirección de Fomento Editorial, 2008.
Find full textOrissa (India). Directorate of Economics and Statistics. Gender disparity Orissa, 2010. Bhubaneswar: Directorate of Economics and Statistics, 2010.
Find full textJenkin, Michael R. M. Techniques for disparity measurement. Toronto: University of Toronto, Dept. of Computer Science, 1987.
Find full textHuman Rights Commission of San Francisco (San Francisco, Calif.). Disparity study 1996-1997. San Francisco, CA: The Commission, 1997.
Find full textFleet, David J. Phase-based disparity measurement. Toronto, Ont: University of Toronto, Department of Computer Science, 1989.
Find full textWinarsih, Wachyu. Analisis disparitas input pembangunan. Jakarta: Badan Pusat Statistik, 2010.
Find full textP, Singh H. Regional disparity in industrial growth. New Delhi, India: Anmol Publications, 1987.
Find full textIndian Economic Association Trust for Research and Development., ed. Sectional disparity: Indices for measurement. New Delhi: Indian Economic Association Trust for Research and Development, 2002.
Find full textBook chapters on the topic "Disparida"
Weik, Martin H. "disparity." In Computer Science and Communications Dictionary, 431. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_5277.
Full textSzymkowicz, Sarah M., and Adam J. Woods. "Binocular Disparity." In Encyclopedia of Clinical Neuropsychology, 577–79. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-57111-9_9104.
Full textWeik, Martin H. "disparity code." In Computer Science and Communications Dictionary, 431. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_5279.
Full textLazareva, Olga. "Binocular Disparity." In Encyclopedia of Evolutionary Psychological Science, 1–4. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-16999-6_2760-1.
Full textHopkins, Melanie J., and Sylvain Gerber. "Morphological Disparity." In Evolutionary Developmental Biology, 1–12. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-33038-9_132-1.
Full textYamashige, Shinji. "Regional Disparity." In Advances in Japanese Business and Economics, 195–212. Tokyo: Springer Japan, 2017. http://dx.doi.org/10.1007/978-4-431-55909-2_10.
Full textSzymkowicz, Sarah M., and Adam J. Woods. "Binocular Disparity." In Encyclopedia of Clinical Neuropsychology, 1–2. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56782-2_9104-1.
Full textHopkins, Melanie J., and Sylvain Gerber. "Morphological Disparity." In Evolutionary Developmental Biology, 965–76. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-32979-6_132.
Full textLazareva, Olga. "Binocular Disparity." In Encyclopedia of Evolutionary Psychological Science, 579–81. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-19650-3_2760.
Full textWeik, Martin H. "disparity binary code." In Computer Science and Communications Dictionary, 431. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_5278.
Full textConference papers on the topic "Disparida"
Wang, Wei, and Caiming Zhang. "Local Disparity Refinement with Disparity Inheritance." In 2012 Symposium on Photonics and Optoelectronics (SOPO 2012). IEEE, 2012. http://dx.doi.org/10.1109/sopo.2012.6271060.
Full textSheikh Faridul, Hasan, Gwenaël Doërr, and Séverine Baudry. "Disparity estimation and disparity-coherent watermarking." In IS&T/SPIE Electronic Imaging, edited by Adnan M. Alattar, Nasir D. Memon, and Chad D. Heitzenrater. SPIE, 2015. http://dx.doi.org/10.1117/12.2082535.
Full textHawe, Simon, Martin Kleinsteuber, and Klaus Diepold. "Dense disparity maps from sparse disparity measurements." In 2011 IEEE International Conference on Computer Vision (ICCV). IEEE, 2011. http://dx.doi.org/10.1109/iccv.2011.6126488.
Full textMuller, Julian, Andreas Fregin, and Klaus Dietmayer. "Disparity Sliding Window: Object Proposals from Disparity Images." In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2018. http://dx.doi.org/10.1109/iros.2018.8593390.
Full textZhang, Zhuoyun, Chunping Hou, Lili Shen, and Jiachen Yang. "An Objective Evaluation for Disparity Map Based on the Disparity Gradient and Disparity Acceleration." In 2009 International Conference on Information Technology and Computer Science (ITCS 2009). IEEE, 2009. http://dx.doi.org/10.1109/itcs.2009.98.
Full textDiaz, Alejandro, and Ranjan Mukherjee. "A Topology Optimization Problem in Control of Structures Using Modal Disparity." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-84761.
Full textVandewalle, Patrick, and Chris Varekamp. "Supervised disparity estimation." In IS&T/SPIE Electronic Imaging, edited by Andrew J. Woods, Nicolas S. Holliman, and Gregg E. Favalora. SPIE, 2012. http://dx.doi.org/10.1117/12.908268.
Full textWang, Haorong, Min Liang, Yixuan Li, Tiansheng Wu, and Jie Li. "High Accuracy Disparity Estimation via Weighted Phase Correlation Disparity Tracker." In 2019 International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI). IEEE, 2019. http://dx.doi.org/10.1109/mlbdbi48998.2019.00043.
Full textLiu, Lee-Kang, Zucheul Lee, and Truong Nguyen. "Sharp disparity reconstruction using sparse disparity measurement and color information." In 2013 11th IVMSP Workshop: 3D Image/Video Technologies and Applications. IEEE, 2013. http://dx.doi.org/10.1109/ivmspw.2013.6611899.
Full textPark, Young-Gyoo, Kyung Hoon Bae, Jung-Hwan Ko, and Eun-Soo Kim. "Object-based disparity estimation scheme using adaptive disparity-based segmentation." In Optical Science and Technology, SPIE's 48th Annual Meeting, edited by Andrew G. Tescher. SPIE, 2003. http://dx.doi.org/10.1117/12.506564.
Full textReports on the topic "Disparida"
Orser, Don J. Binocular spherical disparity:. Gaithersburg, MD: National Institute of Standards and Technology, 1992. http://dx.doi.org/10.6028/nist.ir.4865.
Full textLindert, Peter. Purchasing Power Disparity before 1914. Cambridge, MA: National Bureau of Economic Research, December 2016. http://dx.doi.org/10.3386/w22896.
Full textAbdel-Mageed, Asim B. Nuclear Matrix Proteins in Disparity of Prostate Cancer. Fort Belvoir, VA: Defense Technical Information Center, July 2010. http://dx.doi.org/10.21236/ada542270.
Full textAbdel-Mageed, Asim B. Nuclear Matrix Proteins in Disparity of Prostate Cancer. Fort Belvoir, VA: Defense Technical Information Center, September 2013. http://dx.doi.org/10.21236/ada602404.
Full textBlack, Dan A., Natalia A. Kolesnikova, Seth G. Sanders, and Lowell J. Taylor. The Role of Location in Evaluating Racial Wage Disparity. Federal Reserve Bank of St. Louis, 2009. http://dx.doi.org/10.20955/wp.2009.043.
Full textUrquidi, Manuel, Verónica Tejerina, Mariana Raphael, and Guillaume Durand. Trabajar y ser mujer en Bolivia. Inter-American Development Bank, December 2020. http://dx.doi.org/10.18235/0002914.
Full textOstrer, Harry. Genomic Basis of Prostate Cancer Health Disparity Among African-American Men. Fort Belvoir, VA: Defense Technical Information Center, July 2014. http://dx.doi.org/10.21236/ada613850.
Full textFitzgerald, Breda, and Carol J. Salusso. A self-efficacy approach to mediating gender disparity in body satisfaction. Ames: Iowa State University, Digital Repository, November 2015. http://dx.doi.org/10.31274/itaa_proceedings-180814-1137.
Full textOstrer, Harry. Genomic Basis of Prostate Cancer Health Disparity Among African-American Men. Fort Belvoir, VA: Defense Technical Information Center, July 2013. http://dx.doi.org/10.21236/ada580967.
Full textZaki, Chahir. On trade policies and wage disparity in Egypt: Evidence from microeconomic data. Population Council, 2011. http://dx.doi.org/10.31899/pgy2.1075.
Full text