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Stereo Vision Depth Estimation Methods for Robotic Applications

Stereo Vision Depth Estimation Methods for Robotic Applications

Lazaros Nalpantidis, Antonios Gasteratos
Copyright: © 2012 |Pages: 21
ISBN13: 9781613503263|ISBN10: 1613503261|EISBN13: 9781613503270
DOI: 10.4018/978-1-61350-326-3.ch021
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MLA

Nalpantidis, Lazaros, and Antonios Gasteratos. "Stereo Vision Depth Estimation Methods for Robotic Applications." Depth Map and 3D Imaging Applications: Algorithms and Technologies, edited by Aamir Saeed Malik, et al., IGI Global, 2012, pp. 397-417. https://doi.org/10.4018/978-1-61350-326-3.ch021

APA

Nalpantidis, L. & Gasteratos, A. (2012). Stereo Vision Depth Estimation Methods for Robotic Applications. In A. Malik, T. Choi, & H. Nisar (Eds.), Depth Map and 3D Imaging Applications: Algorithms and Technologies (pp. 397-417). IGI Global. https://doi.org/10.4018/978-1-61350-326-3.ch021

Chicago

Nalpantidis, Lazaros, and Antonios Gasteratos. "Stereo Vision Depth Estimation Methods for Robotic Applications." In Depth Map and 3D Imaging Applications: Algorithms and Technologies, edited by Aamir Saeed Malik, Tae Sun Choi, and Humaira Nisar, 397-417. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-61350-326-3.ch021

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Abstract

Vision is undoubtedly the most important sense for humans. Apart from many other low and higher level perception tasks, stereo vision has been proven to provide remarkable results when it comes to depth estimation. As a result, stereo vision is a rather popular and prosperous subject among the computer and machine vision research community. Moreover, the evolution of robotics and the demand for vision-based autonomous behaviors has posed new challenges that need to be tackled. Autonomous operation of robots in real working environments, given limited resources requires effective stereo vision algorithms. This chapter presents suitable depth estimation methods based on stereo vision and discusses potential robotic applications.

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