The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Stereo Vision Depth Estimation Methods for Robotic Applications
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.
Related Content
|
Rashmi Rani Samantaray, Zahira Tabassum, Abdul Azeez.
© 2024.
32 pages.
|
|
Sanjana Prasad, Deepashree Rajendra Prasad.
© 2024.
25 pages.
|
|
Deepak Varadam, Sahana P. Shankar, Aryan Bharadwaj, Tanvi Saxena, Sarthak Agrawal, Shraddha Dayananda.
© 2024.
24 pages.
|
|
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar, Sachin Chaudhary, Rajneesh Panwar.
© 2024.
29 pages.
|
|
Mrutyunjaya S. Hiremath, Rajashekhar C. Biradar.
© 2024.
30 pages.
|
|
C. L. Chayalakshmi, Mahabaleshwar S. Kakkasageri, Rajani S. Pujar, Nayana Hegde.
© 2024.
30 pages.
|
|
Amit Kumar Tyagi.
© 2024.
29 pages.
|
|
|