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Books on the topic 'Object Detection and Recognition'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Bogusław Cyganek. Object Detection and Recognition in Digital Images. John Wiley & Sons Ltd, 2013. http://dx.doi.org/10.1002/9781118618387.

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2

Jiang, Xiaoyue, Abdenour Hadid, Yanwei Pang, Eric Granger, and Xiaoyi Feng, eds. Deep Learning in Object Detection and Recognition. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-10-5152-4.

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3

Amit, Yali. 2D object detection and recognition: Models, algorithms, and networks. MIT Press, 2002.

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4

Wosnitza, Matthias Werner. High precision 1024-point FFT processor for 2D object detection. Konstanz, 1999.

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5

Mir, Roohie Naaz, Vipul Kumar Sharma, Ranjeet Kumar Rout, and Saiyed Umer. Advancement of Deep Learning and its Applications in Object Detection and Recognition. River Publishers, 2023. http://dx.doi.org/10.1201/9781003393658.

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6

Bennamoun, M., and G. J. Mamic. Object Recognition. Springer London, 2002. http://dx.doi.org/10.1007/978-1-4471-3722-1.

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7

Grauman, Kristen, and Bastian Leibe. Visual Object Recognition. Springer International Publishing, 2011. http://dx.doi.org/10.1007/978-3-031-01553-3.

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8

Strat, Thomas M. Natural Object Recognition. Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4612-2932-2.

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9

Bastian, Leibe, ed. Visual object recognition. Morgan & Claypool, 2011.

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10

Dawson, K. M. Object recognition techniques. Trinity College, Department of Computer Science, 1991.

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11

Wilkes, David. Active object recognition. University of Toronto, 1994.

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12

Strat, Thomas M. Natural Object Recognition. Springer New York, 1992.

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13

Osaka, Naoyuki, Ingo Rentschler, and Irving Biederman, eds. Object Recognition, Attention, and Action. Springer Japan, 2007. http://dx.doi.org/10.1007/978-4-431-73019-4.

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14

Ponce, Jean, Martial Hebert, Cordelia Schmid, and Andrew Zisserman, eds. Toward Category-Level Object Recognition. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11957959.

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15

Treiber, Marco Alexander. An Introduction to Object Recognition. Springer London, 2010. http://dx.doi.org/10.1007/978-1-84996-235-3.

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16

1948-, Jain Anil K., and Flynn P. J, eds. Three-dimensional object recognition systems. Elsevier, 1993.

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17

Gibson, David. Intelligent object recognition processing systems. UMIST, 1995.

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18

Poonkuntran, S., Balamurugan Balusamy, and Rajesh Kumar Dhanraj. Object Detection with Deep Learning Models. Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003206736.

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19

Shaikh, Soharab Hossain, Khalid Saeed, and Nabendu Chaki. Moving Object Detection Using Background Subtraction. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07386-6.

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20

Lee, Chin-Hwa. Similarity counting architecture for object detection. Naval Postgraduate School, 1986.

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21

K, Jurgen Ronald, and Society of Automotive Engineers, eds. Object detection, collision warning & avoidance systems. SAE International, 2007.

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22

United States. National Aeronautics and Space Administration., ed. A model-based approach for detection of runways and other objects in image sequences acquired using an on-board camera: Final technical report for NASA grant NAG-1-1371, "analysis of image sequences from sensors for restricted visibility operations", period of the grant January 24, 1992 to May 31, 1994. National Aeronautics and Space Administration, 1994.

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23

United States. National Aeronautics and Space Administration., ed. A model-based approach for detection of runways and other objects in image sequences acquired using an on-board camera: Final technical report for NASA grant NAG-1-1371, "analysis of image sequences from sensors for restricted visibility operations", period of the grant January 24, 1992 to May 31, 1994. National Aeronautics and Space Administration, 1994.

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24

United States. National Aeronautics and Space Administration., ed. A model-based approach for detection of runways and other objects in image sequences acquired using an on-board camera: Final technical report for NASA grant NAG-1-1371, "analysis of image sequences from sensors for restricted visibility operations", period of the grant January 24, 1992 to May 31, 1994. National Aeronautics and Space Administration, 1994.

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25

Michaelsen, Eckart, and Jochen Meidow. Hierarchical Perceptual Grouping for Object Recognition. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04040-6.

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26

1955-, Bowyer Kevin, ed. Generic object recognition using form & function. World Scientific, 1996.

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27

N, Nasr Hatem, ed. Selected papers on automatic object recognition. SPIE Optical Engineering Press, 1991.

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28

Lomas, Dennis R. Model-driven object recognition: Complexity issues. University of Toronto, Dept. of Computer Science, 1992.

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29

Lamdan, Yehezkel. Object recognition by affine invariant matching. Courant Institute of Mathematical Sciences, New York University, 1988.

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30

Bennamoun, M. Object Recognition: Fundamentals and Case Studies. Springer London, 2002.

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31

Bastuscheck, C. Marc. Automatic model builder for object recognition. Courant Institute of Mathematical Sciences, New York University, 1987.

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32

Lomas, Dennis Ray. Model-driven object recognition: Complexity issues. National Library of Canada = Bibliothèque nationale du Canada, 1992.

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33

Freeman, Richard P. J. Cognitive processes in multimodal object recognition. University of Birmingham, 1994.

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34

1977-, Mamic G. J., ed. Object recognition: Fundamentals and case studies. Springer, 2002.

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35

Cipolla, Roberto, Sebastiano Battiato, and Giovanni Maria Farinella. Computer vision: Detection, recognition and reconstruction. Springer, 2010.

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36

Amit, Yali. 2D Object Detection and Recognition. The MIT Press, 2002. http://dx.doi.org/10.7551/mitpress/1006.001.0001.

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37

Jiang, Xiaoyue, Eric Granger, Abdenour Hadid, Yanwei Pang, and Xiaoyi Feng. Deep Learning in Object Detection and Recognition. Springer, 2021.

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38

Jiang, Xiaoyue, Eric Granger, Abdenour Hadid, Yanwei Pang, and Xiaoyi Feng. Deep Learning in Object Detection and Recognition. Springer, 2019.

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39

Jiang, Xiaoyue, Abdenour Hadid, and Yanwei Pang. Deep Learning in Object Detection and Recognition. Springer, 2019.

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40

Wang, Xiaogang. Deep Learning in Object Recognition, Detection, and Segmentation. Now Publishers, 2016.

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41

2D Object Detection and Recognition: Models, Algorithms, and Networks. The MIT Press, 2002.

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42

Moving Object Detection Using Background Subtraction. Springer International Publishing AG, 2014.

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43

Cyganek, Boguslaw. Object Detection and Recognition in Digital Images: Theory and Practice. Wiley & Sons, Limited, John, 2013.

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44

Cyganek, Boguslaw. Object Detection and Recognition in Digital Images: Theory and Practice. Wiley & Sons, Incorporated, John, 2013.

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45

Cyganek, Boguslaw. Object Detection and Recognition in Digital Images: Theory and Practice. Wiley & Sons, Incorporated, John, 2013.

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46

Cyganek, Boguslaw. Object Detection and Recognition in Digital Images: Theory and Practice. Wiley & Sons, Limited, John, 2013.

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47

Cyganek, Boguslaw. Object Detection and Recognition in Digital Images: Theory and Practice. Wiley & Sons, Incorporated, John, 2013.

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48

Singh, Himanshu. Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python. Apress, 2019.

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49

Mir, Roohie Naaz, and Vipul Kumar Sharma. Advancement of Deep Learning and Its Applications in Object Detection and Recognition. River Publishers, 2023.

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50

Mir, Roohie Naaz, and Vipul Kumar Sharma. Advancement of Deep Learning and Its Applications in Object Detection and Recognition. River Publishers, 2023.

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