Relevant bibliographies by topics / Stereo

Contents

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

Academic literature on the topic 'Stereo'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 May 2024

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Journal articles on the topic "Stereo"

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Miyazaki, Daisuke, and Kazuya Uegomori. "Example-Based Multispectral Photometric Stereo for Multi-Colored Surfaces." Journal of Imaging 8, no. 4 (April 11, 2022): 107. http://dx.doi.org/10.3390/jimaging8040107.

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A photometric stereo needs three images taken under three different light directions lit one by one, while a color photometric stereo needs only one image taken under three different lights lit at the same time with different light directions and different colors. As a result, a color photometric stereo can obtain the surface normal of a dynamically moving object from a single image. However, the conventional color photometric stereo cannot estimate a multicolored object due to the colored illumination. This paper uses an example-based photometric stereo to solve the problem of the color photometric stereo. The example-based photometric stereo searches the surface normal from the database of the images of known shapes. Color photometric stereos suffer from mathematical difficulty, and they add many assumptions and constraints; however, the example-based photometric stereo is free from such mathematical problems. The process of our method is pixelwise; thus, the estimated surface normal is not oversmoothed, unlike existing methods that use smoothness constraints. To demonstrate the effectiveness of this study, a measurement device that can realize the multispectral photometric stereo method with sixteen colors is employed instead of the classic color photometric stereo method with three colors.
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Li, Yinhao, Han Bao, Zheng Ge, Jinrong Yang, Jianjian Sun, and Zeming Li. "BEVStereo: Enhancing Depth Estimation in Multi-View 3D Object Detection with Temporal Stereo." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 2 (June 26, 2023): 1486–94. http://dx.doi.org/10.1609/aaai.v37i2.25234.

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Restricted by the ability of depth perception, all Multi-view 3D object detection methods fall into the bottleneck of depth accuracy. By constructing temporal stereo, depth estimation is quite reliable in indoor scenarios. However, there are two difficulties in directly integrating temporal stereo into outdoor multi-view 3D object detectors: 1) The construction of temporal stereos for all views results in high computing costs. 2) Unable to adapt to challenging outdoor scenarios. In this study, we propose an effective method for creating temporal stereo by dynamically determining the center and range of the temporal stereo. The most confident center is found using the EM algorithm. Numerous experiments on nuScenes have shown the BEVStereo's ability to deal with complex outdoor scenarios that other stereo-based methods are unable to handle. For the first time, a stereo-based approach shows superiority in scenarios like a static ego vehicle and moving objects. BEVStereo achieves the new state-of-the-art in the camera-only track of nuScenes dataset while maintaining memory efficiency. Codes have been released.
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Woei Teo, Chun. "STEREO ENCODING DEVICE, STEREO DECODING DEVICE, AND STEREO ENCODING METHOD." Journal of the Acoustical Society of America 134, no. 6 (2013): 4582. http://dx.doi.org/10.1121/1.4836712.

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McKee, Suzanne P., Preeti Verghese, and Bart Farell. "Stereo sensitivity depends on stereo matching." Journal of Vision 5, no. 10 (November 23, 2005): 3. http://dx.doi.org/10.1167/5.10.3.

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Agui, Takeshi, Tomoharu Nagao, Ryuji Yamazaki, and Masayuki Nakajima. "Stereo clipping for binocular stereo images." Journal of the Institute of Television Engineers of Japan 45, no. 1 (1991): 94–100. http://dx.doi.org/10.3169/itej1978.45.94.

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Takeuchi, Gakuto, Manabu Onuma, Wataru Saito, Takaaki Hara, Eriko Ikari, Norio Usui, and Toru Utsumi. "Evaluation and Comparison of Stereo Tests- JACO Stereo Test, TNO Stereo Test, and Stereo Fly Test." JAPANESE ORTHOPTIC JOURNAL 48 (2018): 65–71. http://dx.doi.org/10.4263/jorthoptic.048f105.

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Chen, Ai Hua, Cheng Hui Gao, and Bing Wei He. "Image Stereo Correspondence Method for Stereo Vision." Applied Mechanics and Materials 475-476 (December 2013): 337–41. http://dx.doi.org/10.4028/www.scientific.net/amm.475-476.337.

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Image stereo correspondence is the core technology of stereo vision. It has been widely studied and applied in the fields such as 3D reconstruction, vision measurement and target recognition. According to characteristics and application of stereo matching technology, the image stereo correspondence methods can be classified into three categories: local stereo correspondence, global stereo correspondence and semi-global stereo correspondence. Some image stereo correspondence solutions and problems are emphatically analyzed. Finally some future research issues on image stereo correspondence are highlighted.
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Thernisien, A., A. Vourlidas, and R. A. Howard. "CME reconstruction: Pre-STEREO and STEREO era." Journal of Atmospheric and Solar-Terrestrial Physics 73, no. 10 (June 2011): 1156–65. http://dx.doi.org/10.1016/j.jastp.2010.10.019.

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Liu, J., S. Ji, C. Zhang, and Z. Qin. "EVALUATION OF DEEP LEARNING BASED STEREO MATCHING METHODS: FROM GROUND TO AERIAL IMAGES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2 (May 30, 2018): 593–97. http://dx.doi.org/10.5194/isprs-archives-xlii-2-593-2018.

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Dense stereo matching has been extensively studied in photogrammetry and computer vision. In this paper we evaluate the application of deep learning based stereo methods, which were raised from 2016 and rapidly spread, on aerial stereos other than ground images that are commonly used in computer vision community. Two popular methods are evaluated. One learns matching cost with a convolutional neural network (known as MC-CNN); the other produces a disparity map in an end-to-end manner by utilizing both geometry and context (known as GC-net). First, we evaluate the performance of the deep learning based methods for aerial stereo images by a direct model reuse. The models pre-trained on KITTI 2012, KITTI 2015 and Driving datasets separately, are directly applied to three aerial datasets. We also give the results of direct training on target aerial datasets. Second, the deep learning based methods are compared to the classic stereo matching method, Semi-Global Matching(SGM), and a photogrammetric software, SURE, on the same aerial datasets. Third, transfer learning strategy is introduced to aerial image matching based on the assumption of a few target samples available for model fine tuning. It experimentally proved that the conventional methods and the deep learning based methods performed similarly, and the latter had greater potential to be explored.
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Hong, Phuc Nguyen, and Chang Wook Ahn. "Stereo Matching Methods for Imperfectly Rectified Stereo Images." Symmetry 11, no. 4 (April 19, 2019): 570. http://dx.doi.org/10.3390/sym11040570.

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Stereo matching has been under development for decades and is an important process for many applications. Difficulties in stereo matching include textureless regions, occlusion, illumination variation, the fattening effect, and discontinuity. These challenges are effectively solved in recently developed stereo matching algorithms. A new imperfect rectification problem has recently been encountered in stereo matching, and the problem results from the high resolution of stereo images. State-of-the-art stereo matching algorithms fail to exactly reconstruct the depth information using stereo images with imperfect rectification, as the imperfectly rectified image problems are not explicitly taken into account. In this paper, we solve the imperfect rectification problems, and propose matching stereo matching methods that based on absolute differences, square differences, normalized cross correlation, zero-mean normalized cross correlation, and rank and census transforms. Finally, we conduct experiments to evaluate these stereo matching methods using the Middlebury datasets. The experimental results show the proposed stereo matching methods can reduce error rate significantly for stereo images with imperfect rectification.
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Dissertations / Theses on the topic "Stereo"

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Greenfeld, Joshua S. "A stereo vision approach to automatic stereo matching in photogrammetry /." The Ohio State University, 1987. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487331541710317.

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Aydinoğlu, Behçet Halûk. "Stereo image compression." Diss., Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/15447.

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O'Kennedy, Brian James. "Stereo camera calibration." Thesis, Stellenbosch : Stellenbosch University, 2002. http://hdl.handle.net/10019.1/53063.

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Thesis (MScEng)--Stellenbosch University, 2002.
ENGLISH ABSTRACT: We present all the components needed for a fully-fledged stereo vision system, ranging from object detection through camera calibration to depth perception. We propose an efficient, automatic and practical method to calibrate cameras for use in 3D machine vision metrology. We develop an automated stereo calibration system that only requires a series of views of a manufactured calibration object in unknown positions. The system is tested against real and synthetic data, and we investigate the robustness of the proposed method compared to standard calibration practice. All the aspects of 3D stereo reconstruction is dealt with and we present the necessary algorithms to perform epipolar rectification on images as well as solving the correspondence and triangulation problems. It was found that the system performs well even in the presence of noise, and calibration is easy and requires no specialist knowledge.
AFRIKAANSE OPSOMMING: Ons beskryf al die komponente van 'n omvattende stereo visie sisteem. Die kern van die sisteem is 'n effektiewe, ge-outomatiseerde en praktiese metode om kameras te kalibreer vir gebruik in 3D rekenaarvisie. Ons ontwikkel 'n outomatiese, stereo kamerakalibrasie sisteem wat slegs 'n reeks beelde van 'n kalibrasie voorwerp in onbekende posisies vereis. Die sisteem word getoets met reële en sintetiese data, en ons vergelyk die robuustheid van die metode met die standaard algoritmes. Al die aspekte van die 3D stereo rekonstruksie word behandel en ons beskryf die nodige algoritmes om epipolêre rektifikasie op beelde te doen sowel as metodes om die korrespondensie- en diepte probleme op te los. Ons wys dat die sisteem goeie resultate lewer in die aanwesigheid van ruis en dat kamerakalibrasie outomaties kan geskied sonder dat enige spesialis kennis benodig word.
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Sac, Hakan. "Opti-acoustic Stereo Imaging." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614782/index.pdf.

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In this thesis, opti-acoustic stereo imaging, which is the deployment of two-dimensional (2D) high frequency imaging sonar with the electro-optical camera in calibrated stereo configuration, is studied. Optical cameras give detailed images in clear waters. However, in dark or turbid waters, information coming from electro-optical sensor is insufficient for accurate scene perception. Imaging sonars, also known as acoustic cameras, can provide enhanced target details under these scenarios. To illustrate these visibility conditions, a 2D high frequency imaging sonar simulator as well as an underwater optical image simulator is developed. A computationally efficient algorithm is also proposed for the post-processing of the returned sonar signals. Where optical visibility allows, integration of the sonar and optical images effectively provides binocular stereo vision capability and enables the recovery of three-dimensional (3D) structural information. This requires solving the feature correspondence problem for these completely different sensing modalities. Geometrical interpretation of this problem is examined on the simulated optical and sonar images. Matching the features manually, 3D reconstruction performance of opti-acoustic system is also investigated. In addition, motion estimation from opti-acoustic image sequences is studied. Finally, a method is proposed to improve the degraded optical images with the help of sonar images. First, a nonlinear mapping is found to match local the features in opti-acoustical images. Next, features in the sonar image is mapped to the optical image using the transformation. Performance of the mapping is evaluated for different scene geometries.
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Jiang, Qin. "Stereo image sequence compression." Diss., Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/15634.

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Powell, Christopher. "Mutual illumination photometric stereo." Thesis, University of East Anglia, 2018. https://ueaeprints.uea.ac.uk/67065/.

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Many techniques have been developed in computer vision to recover three-dimensional shape from two-dimensional images. These techniques impose various combinations of assumptions/restrictions of conditions to produce a representation of shape (e.g. surface normals or a height map). Although great progress has been made it is a problem which remains far from solved. In this thesis we propose a new approach to shape recovery - namely `mutual illumination photometric stereo'. We exploit the presence of colourful mutual illumination in an environment to recover the shape of objects from a single image.
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Aumond, Bernardo Dantas 1972. "High precision stereo profilometry." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/88892.

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Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2001.
Includes bibliographical references (leaves 186-190).
Metrological data from sample surfaces can be obtained by using a variety of profilome try methods. Atomic Force Microscopy (AFM), which relies on contact inter-atomic forces to extract topographical images of a sample, is one such method that can be used on a wide range of surface types, with possible nanometer resolution (both vertical andlateral). However, AFM images are commonly distorted by convolution, which reduces metrological accuracy. This type of distortion is more significant when the sample surface containshigh aspect ratio features such as lines, steps or sharp edges or when probe and sample share similar characteristic dimensions. Therefore, as the size of engineered features arepushed into the micrometer and sub-micrometer range by the development of new high precision fabrication techniques, convolution distortions embedded in the images becomeincreasingly more significant. Aiming at mitigating these distortions and recovering metrology sound ness, we introduce a novel image deconvolution scheme based on the principle of stereo imaging. Multiple images of a sample, taken at different angles, allow for separation ofcon volution artifacts from true topographic data. As a result, accurate samplereconstruction and probe shape estimation can be achieved simultaneously. Additionally, shadow zones, which are areas of the sample that cannot be reached by the AFM probe, are greatly re duced. Most importantly, this technique does not require a priori probe characterizationor any sort of shape assumption. It also reduces the need for slender or sharper probes,which, on one hand, induce less convolution distortion but, on the other hand, are more prone to wear and damage, thus decreasing the overall inspection system reliability.
(cont.) This research project includes a survey of current high precision metrology tools and an in-depthanalysis of the state of the art deconvolution techniques for probe based metrology instruments. Next, the stereo imaging algorithm is introduced, simulation results presented and anerror analysis is conducted. Finally, experimental validations of the technique are carried outfor an industrial inspection application where the characteristic dimensions of the samplesare in the nanometer range. The technique was found to be robust and insensitive to probe or shape geometries. Furthermore, the same framework was deemed to be applicable to other probe based imaging techniques such as mechanical stylus profilometers and scanning tunneling microscopy.
by Bernardo Dantas Aumond.
Ph.D.
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Wildes, Richard Patrick. "On interpreting stereo disparity." Thesis, Massachusetts Institute of Technology, 1989. http://hdl.handle.net/1721.1/17262.

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Capps, Michael Vincent 1972. "Shared-Frustum stereo rendering." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/81521.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.
Includes bibliographical references (p. 52-54).
by Michael Vincent Capps.
S.M.
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Bolelli, Maria Virginia. "Neurogeometry of stereo vision." Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS107.

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Ce travail vise à développer un modèle neurogéométrique de la vision stéréo, basé sur les architectures corticales impliquées dans le problème de la perception 3D et les mécanismes neuronaux générés par les disparités rétiniennes. Nous l'appliquons pour reproduire des expériences phénoménologiques ainsi que pour traiter des images 3D, en identifiant des percepts visuels tridimensionnels dans l'espace, en résolvant le problème de correspondance. Tout d'abord, nous proposons une géométrie sub-riemannienne pour la vision stéréo. Cette proposition s'inspire du travail sur le problème de la stéréo effectué par Li et Zucker, et elle utilise les outils sub-riemanniens introduits par Citti et Sarti pour la vision monoculaire. En particulier, nous présentons une interprétation mathématique des mécanismes neuronaux qui sous-tendent le comportement des cellules binoculaires, qui intègrent les entrées monoculaires, en introduisant un espace fibré corticales approprié. La compatibilité naturelle entre la triangulation stéréo et les modèles neurophysiologiques (modèle d'énergie binoculaire) montre que ces cellules binoculaires sont sensibles soit à la position et soit à l'orientation. Nous modélisons donc leur action dans l'espace R^3xS^2 équipé d'une métrique sub-riemannienne. Les courbes intégrales de la structure sub-riemannienne éclairent les calculs qui sous-tendent le problème de correspondance. Elles codent non seulement les variables de l'espace, mais aussi la courbure et la torsion, qui sont nécessaires pour résoudre la correspondance 3D. De plus, un éventail de ces courbes peut modéliser l'analogue 3D des champs d'association psychophysiques de Field, Heyes et Hess. Ceci illustre comment une bonne continuation dans le monde généralise une bonne continuation en 2D. Ensuite, nous étudions la constitution d'unités perceptuelles 3D dans la scène tridimensionnelle générée à partir de la géométrie sub-riemannienne. Ces unités perceptuelles émergent comme une conséquence de la connexion cortico-corticale aléatoire des cellules binoculaires. Nous présentons le processus stochastique à la base de ce phénomène, en considérant une version stochastique opportune des courbes intégrales. Nous générons une famille de solutions fondamentales pour l'opérateur de Kolmogorov associé au processus stochastique généré. Cette famille représente la probabilité d'interaction entre les cellules binoculaires et est mise en oeuvre comme un modèle de facilitation pour définir l'évolution de l'activité de la population neuronale. Cette activité est généralement modélisée par une équation de champ moyen. L'existence et l'unicité d'une solution découlent classiquement du problème de Cauchy dans les espaces de Banach. En revanche, l'analyse de stabilité est effectuée à l'aide de la méthode de Lyapunov, ce qui conduit à la prise en compte du problème des valeurs propres associé. Nous démontrons que les unités perceptuelles tridimensionnelles apparaissent de façon naturelle, à partir de la version discrète du problème des valeurs propres. Enfin, nous mettons en évidence la relation entre les solutions fondamentales des opérateurs géométriques apparaissant dans les espaces impliqués dans notre modèle: l'espace des positions et des orientations R^3xS^2 et le groupe de Lie SE(3). Nous étudions d’abord l'existence d'une isométrie (locale) entre ces deux espaces, avec la métrique induite par la structure corticale et sa contrepartie dans SE(3). Enfin, nous relions le comportement des solutions fondamentales dans les deux espaces en utilisant la notion de soulèvement d'opérateur
This work aims to develop a neurogeometric model of stereo vision, based on cortical architectures involved in the problem of 3D perception and neural mechanisms generated by retinal disparities. We apply it to reproduce phenomenological experiments as well as to process 3D images, identifying three-dimensional visual percepts in space, solving the correspondence problem. First, we provide a sub-Riemannian geometry for stereo vision. This proposal is inspired by the work on the stereo problem by Li and Zucker, and it uses sub-Riemannian tools introduced by Citti and Sarti for monocular vision. In particular, we present a mathematical interpretation of the neural mechanisms underlying the behavior of binocular cells, that integrate monocular inputs, by introducing a suitable cortical fiber bundle. The natural compatibility between stereo geometry (stereo triangulation) and neurophysiological models (binocular energy model) shows that these binocular cells are sensitive to position and orientation. Therefore, we model their action in the space R^3xS^2 equipped with a sub-Riemannian metric. Integral curves of the sub-Riemannian structure shed light on the computations underlying the correspondence problem. They encode not only the variables of the space, but also curvature and torsion, which are necessary for the 3D matching. Moreover, a fan of these curves can model the 3D analog of the psychophysical association fields of Field, Heyes and Hess, for the 3D process of regular contour formation, studied by psychophysical experiments. This illustrates how good continuation in the world generalizes good continuation in the plane, as conjectured by Li and Zucker. As a second step, we study the constitution of 3D perceptual units in the three-dimensional scene generated from the sub-Riemannian geometry. These perceptual units emerge as a consequence of the random cortico-cortical connection of binocular cells. We present the stochastic process at the basis of this phenomenon, by considering an opportune stochastic version of the integral curves. We generate a family of kernels through the forward Kolmogorov operator associated to the generated stochastic process, and approximate them using a Monte Carlo simulation-based method. These kernels represent the probability of interaction between binocular cells and are implemented as facilitation patterns to define the evolution in time of neural population activity at a point. This activity is usually modeled through a mean field equation. The existence and uniqueness of a solution classically follow from the Cauchy problem in Banach spaces, while the stability analysis is performed using the Lyapunov method, leading to the consideration of the associated eigenvalue problem. We show that three-dimensional perceptual units arise naturally from the discrete version of the eigenvalue problem associated to the integro-differential equation of the population activity. Finally, we highlight the relation between the fundamental solutions of the geometric operators arising in the spaces involved in our model, namely the space of positions and orientations R^3xS^2 and the Lie group of three-dimensional rigid body motions SE(3). We first provide the existence of a (local) isometry between these two spaces, with the metric induced by the cortical structure and its SE(3) counterpart. Finally, we relate the behavior of fundamental solutions in both spaces using the notion of lifting of operator
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Books on the topic "Stereo"

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Knuchel, Hans. Stereo. Baden: L. Müller, 1990.

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Stereo. Baden: L. Müller, 1990.

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Prentiss, Stan. AM stereo & TV stereo--new sound dimensions. Blue Ridge Summit, PA: Tab Books, 1985.

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In stereo. Toronto: BookThug, 2008.

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Saidi, Ridhwan. Stereo genmai. Sungai Buloh, Malaysia: Moka Mocha Ink, 2012.

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Personal stereo. Des Plaines, Ill: Heinemann Interactive Library, 1998.

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Beltrán, Carolina Bustos. Sueńo stereo. Ibagué: Caza de Libros Editores, 2014.

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Flatlands: Stereo pictures. Baden (Switzerland): Lars Muller Verlag, 1995.

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Russell, C. T., ed. The STEREO Mission. New York, NY: Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-09649-0.

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T, Russell C., ed. The stereo mission. New York: Springer, 2008.

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Book chapters on the topic "Stereo"

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Geluso, Paul. "Stereo." In Immersive Sound, 63–87. New York ; London : Routledge, 2017.: Routledge, 2017. http://dx.doi.org/10.4324/9781315707525-4.

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Weng, Juyang, Thomas S. Huang, and Narendra Ahuja. "Stereo." In Motion and Structure from Image Sequences, 315–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-77643-4_7.

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Klette, Reinhard. "Stereo Matching." In Undergraduate Topics in Computer Science, 287–330. London: Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-6320-6_8.

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Szeliski, Richard. "Stereo correspondence." In Texts in Computer Science, 467–503. London: Springer London, 2010. http://dx.doi.org/10.1007/978-1-84882-935-0_11.

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Baudrillard, Jean. "Stereo-Porno." In Seduction, 28–36. London: Macmillan Education UK, 1990. http://dx.doi.org/10.1007/978-1-349-20638-4_4.

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Lyman, Charles E., Joseph I. Goldstein, Alton D. Romig, Patrick Echlin, David C. Joy, Dale E. Newbury, David B. Williams, et al. "Stereo Microscopy." In Scanning Electron Microscopy, X-Ray Microanalysis, and Analytical Electron Microscopy, 204–6. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4613-0635-1_33.

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Lyman, Charles E., Joseph I. Goldstein, Alton D. Romig, Patrick Echlin, David C. Joy, Dale E. Newbury, David B. Williams, et al. "Stereo Microscopy." In Scanning Electron Microscopy, X-Ray Microanalysis, and Analytical Electron Microscopy, 22–26. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4613-0635-1_4.

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Eargle, John. "Multichannel Stereo." In Handbook of Recording Engineering, 130–44. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4757-1129-5_10.

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Wieser, H. G. "Stereo-Electroencephalography." In Presurgical Evaluation of Epileptics, 192–204. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-71103-9_32.

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Ikeuchi, Katsushi, Yasuyuki Matsushita, Ryusuke Sagawa, Hiroshi Kawasaki, Yasuhiro Mukaigawa, Ryo Furukawa, and Daisuke Miyazaki. "Photometric Stereo." In Active Lighting and Its Application for Computer Vision, 107–23. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-56577-0_5.

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Conference papers on the topic "Stereo"

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Busam, Benjamin, Matthieu Hog, Steven McDonagh, and Gregory Slabaugh. "SteReFo: Efficient Image Refocusing with Stereo Vision." In 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW). IEEE, 2019. http://dx.doi.org/10.1109/iccvw.2019.00411.

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Saygili, Gorkem, Laurens Van Der Maaten, and Emile A. Hendriks. "Stereo Similarity Metric Fusion Using Stereo Confidence." In 2014 22nd International Conference on Pattern Recognition (ICPR). IEEE, 2014. http://dx.doi.org/10.1109/icpr.2014.376.

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Somanath, Gowri, Scott Cohen, Brian Price, and Chandra Kambhamettu. "Stereo+Kinect for High Resolution Stereo Correspondences." In 2013 International Conference on 3D Vision (3DV). IEEE, 2013. http://dx.doi.org/10.1109/3dv.2013.10.

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Zhao, Siyan, Zachary Schwemler, Adam Fritz, and Ali Israr. "Stereo Haptics." In TEI '16: Tenth International Conference on Tangible, Embedded, and Embodied Interaction. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2839462.2854120.

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Toumodge, Shawn S. "Why Stereo?" In Robotics and IECON '87 Conferences, edited by David P. Casasent and Ernest L. Hall. SPIE, 1988. http://dx.doi.org/10.1117/12.942768.

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Li, Chi, and Zhiguo Cao. "LiDAR-Stereo." In ICMSSP 2020: 2020 5th International Conference on Multimedia Systems and Signal Processing. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3404716.3404721.

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Rosenberg, Jason, Gena Hillhouse, and Younian Wang. "Stereo analyst." In ACM SIGGRAPH 99 Conference abstracts and applications. New York, New York, USA: ACM Press, 1999. http://dx.doi.org/10.1145/311625.312370.

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Zhang, Haimo, Xiang Cao, and Shengdong Zhao. "Beyond stereo." In the 2012 ACM annual conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2207676.2208638.

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Achtelik, M. W., S. Weiss, M. Chli, F. Dellaert, and R. Siegwart. "Collaborative stereo." In 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011). IEEE, 2011. http://dx.doi.org/10.1109/iros.2011.6048550.

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Achtelik, Markus W., Stephan Weiss, Margarita Chli, Frank Dellaerty, and Roland Siegwart. "Collaborative stereo." In 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011). IEEE, 2011. http://dx.doi.org/10.1109/iros.2011.6094866.

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Reports on the topic "Stereo"

1

Chiu, David Y. Single-Sensor Stereo Camera. Fort Belvoir, VA: Defense Technical Information Center, August 1991. http://dx.doi.org/10.21236/ada241827.

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Bartesaghi, A., and Guillermo Sapiro. Non-Photorealistic Rendering from Stereo. Fort Belvoir, VA: Defense Technical Information Center, January 2005. http://dx.doi.org/10.21236/ada437811.

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Toutin, Th, and C. Vester. Understanding RADARSAT Data in Stereo. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1997. http://dx.doi.org/10.4095/219008.

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Toutin, Th. Stereo RADARSAT for Mapping Applications. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1998. http://dx.doi.org/10.4095/219439.

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Doerry, Armin W. Cross-Track Stereo SAR Height Map. Office of Scientific and Technical Information (OSTI), September 2018. http://dx.doi.org/10.2172/1469444.

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Zitnick, C. L., and Jon A. Webb. Multi-Baseline Stereo Using Surface Extraction. Fort Belvoir, VA: Defense Technical Information Center, November 1996. http://dx.doi.org/10.21236/ada319747.

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Toutin, Th. Road Extraction from Stereo RADARSAT Data. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1999. http://dx.doi.org/10.4095/219519.

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Toutin, Th, and P. Cheng. DEM Generation with ASTER Stereo Data. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2001. http://dx.doi.org/10.4095/219789.

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Romps, David, and Rusen Oktem. Stereo Cameras for Clouds (STEREOCAM) Instrument Handbook. Office of Scientific and Technical Information (OSTI), October 2017. http://dx.doi.org/10.2172/1406255.

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Reu, Phillip L. Stereo-DIC Challenge Plate Analysis Discussion Document. Office of Scientific and Technical Information (OSTI), April 2018. http://dx.doi.org/10.2172/1528833.

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