: We are developing computer vision algorithms for sensing important terrain features as an aid to wheelchair navigation, which interpret visual information obtained from images co...
Traditionally computer vision and pattern recognition algorithms are evaluated by measuring differences between final interpretations and ground truth. These black-box evaluations ...
Richard Zanibbi, Dorothea Blostein, James R. Cordy
Traditional computer vision and machine learning algorithms have been largely studied in a centralized setting, where all the processing is performed at a single central location....
Abstract. Graph cuts has emerged as a preferred method to solve a class of energy minimization problems in computer vision. It has been shown that graph cut algorithms designed kee...
Chetan Arora, Subhashis Banerjee, Prem Kalra, S. N...
Optimization is a powerful paradigm for expressing and solving problems in a wide range of areas, and has been successfully applied to many vision problems. Discrete optimization ...