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1

Wöhler, Christian. 3D Computer Vision. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4150-1.

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Wöhler, Christian. 3D Computer Vision. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01732-2.

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Zhang, Yu-Jin. 3D Computer Vision. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-19-7603-2.

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4

Wöhler, Christian. 3D Computer Vision: Efficient Methods and Applications. 2nd ed. Springer London, 2013.

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5

Zhang, Zhengyou. 3D dynamic scene analysis: A stereo basedapproach. Springer-Verlag, 1992.

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6

Cyganek, Boguslaw. An introduction to 3D computer vision techniques and algorithms. John Wiley & Sons, 2008.

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7

Cyganek, Bogusław, and J. Paul Siebert. An Introduction to 3D Computer Vision Techniques and Algorithms. John Wiley & Sons, Ltd, 2009. http://dx.doi.org/10.1002/9780470699720.

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8

Abdelguerfi, Mahdi. 3D Synthetic Environment Reconstruction. Springer US, 2001.

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9

Zhang, David. 3D Biometrics: Systems and Applications. Springer New York, 2013.

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10

Nicosevici, Tudor. Efficient 3D Scene Modeling and Mosaicing. Springer Berlin Heidelberg, 2013.

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11

Daniel, Cremers, and SpringerLink (Online service), eds. Stereo Scene Flow for 3D Motion Analysis. Springer-Verlag London Limited, 2011.

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12

Lepetit, Vincent. Monocular model-based 3D tracking of rigid objects. NOW Publishers, 2005.

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13

service), SpringerLink (Online, ed. Introduction to Computer Graphics: Using Java 2D and 3D. 2nd ed. Springer London, 2012.

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14

Puig, Luis. Omnidirectional Vision Systems: Calibration, Feature Extraction and 3D Information. Springer London, 2013.

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15

Girod, Bernd. Principles of 3D Image Analysis and Synthesis. Springer US, 2002.

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16

Pouliot, Jacynthe. Progress and New Trends in 3D Geoinformation Sciences. Springer Berlin Heidelberg, 2013.

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17

Intelligent, Robots and Computer Vision (13th 1994 Boston Mass ). Intelligent robots and computer vision XIII: 3D vision, product inspection, and active vision : 2-4 November 1994, Boston, Massachusetts. SPIE, 1994.

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18

Zhu, Ce. 3D-TV System with Depth-Image-Based Rendering: Architectures, Techniques and Challenges. Springer New York, 2013.

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19

Andrew, Odewahn, and Jepson Brian 1967-, eds. Making things see: 3D vision with Kinect, Processing, Arduino, and MakerBot. O'Reilly, 2012.

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20

Rusu, Radu Bogdan. Semantic 3D Object Maps for Everyday Robot Manipulation. Springer Berlin Heidelberg, 2013.

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21

Zhang, Zhengyou. 3D Dynamic Scene Analysis: A Stereo Based Approach. Springer Berlin Heidelberg, 1992.

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22

Hoiem, Derek. Representations and techniques for 3D object recognition and scene interpretation. Morgan & Claypool, 2011.

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23

Caramella, Davide. 3D Image Processing: Techniques and Clinical Applications. Springer Berlin Heidelberg, 2002.

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24

Salzmann, Mathieu. Deformable surface 3D reconstruction from monocular images. Morgan & Claypool, 2011.

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25

Höhne, Karl Heinz. 3D Imaging in Medicine: Algorithms, Systems, Applications. Springer Berlin Heidelberg, 1990.

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26

Bernd, Girod, Niemann Heinrich, and Seidel Hans-Peter 1958-, eds. 3D image analysis and synthesis '96: Proceedings, November 18-19, 1996, Erlangen, Germany. Infix, 1996.

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27

Hler, Christian W. 3D Computer Vision. Springer, 2010.

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28

Wöhler, Christian. 3D Computer Vision. Springer, 2012.

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29

Tyler, Christopher W. Computer Vision: From Surfaces to 3D Objects. Taylor & Francis Group, 2011.

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30

Tyler, Christopher W. Computer Vision: From Surfaces to 3D Objects. Taylor & Francis Group, 2011.

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31

Computer vision: From surfaces to 3D objects. Chapman and Hall/CRC, 2010.

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32

Matsuyama, Takashi, Takeshi Takai, Shohei Nobuhara, and Tony Tung. 3D Video and Its Applications. Springer, 2016.

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33

Weinmann, Martin. Reconstruction and Analysis of 3D Scenes: From Irregularly Distributed 3D Points to Object Classes. Springer London, Limited, 2016.

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34

Weinmann, Martin. Reconstruction and Analysis of 3D Scenes: From Irregularly Distributed 3D Points to Object Classes. Springer, 2016.

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35

Weinmann, Martin. Reconstruction and Analysis of 3D Scenes: From Irregularly Distributed 3D Points to Object Classes. Springer International Publishing AG, 2018.

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36

Zhang, Yu-Jin. 3D Computer Vision: Foundations and Advanced Methodologies. Springer, 2023.

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37

Wöhler, Christian. 3D Computer Vision: Efficient Methods and Applications. Springer, 2014.

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38

3D computer vision: Efficient methods and applications. Springer, 2009.

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39

3d Computer Vision Efficient Methods And Applications. Springer, 2012.

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40

Cyganek, Boguslaw, and J. Paul Siebert. Introduction to 3D Computer Vision Techniques and Algorithms. Wiley & Sons, Incorporated, John, 2011.

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41

Cyganek, Boguslaw, and J. Paul Siebert. Introduction to 3D Computer Vision Techniques and Algorithms. Wiley & Sons, Incorporated, John, 2011.

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42

Cyganek, Boguslaw, and J. Paul Siebert. Introduction to 3D Computer Vision Techniques and Algorithms. Wiley & Sons, Incorporated, John, 2008.

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43

Cyganek, Boguslaw, and J. Paul Siebert. Introduction to 3D Computer Vision Techniques and Algorithms. Wiley & Sons, Limited, John, 2009.

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44

Vieville, Thierry. Few Steps Towards 3D Active Vision. Springer London, Limited, 2012.

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45

Zhang, Song. Handbook of 3D Machine Vision. Taylor & Francis Group, 2013.

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46

Bunting, Peter, Yonghuai Liu, and Nick Pears. 3D Imaging, Analysis and Applications. Springer, 2014.

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47

Vieville, Thierry. A Few Steps Towards 3D Active Vision. Springer, 2013.

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48

(Editor), Boguslaw Cyganek, and J. Paul Siebert (Editor), eds. An Introduction to 3d Computer Vision Techniques and Algorithms. John Wiley & Sons Inc, 2008.

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49

Efficient 3d Scene Modeling And Mosaicing. Springer-Verlag Berlin and Heidelberg GmbH &, 2013.

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50

Kanatani, Kenichi, Yasushi Kanazawa, and Yasuyuki Sugaya. Guide to 3D Vision Computation: Geometric Analysis and Implementation. Springer, 2016.

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