Cutting-edge applications of future embedded systems demand highest processor performance with low power consumption to get acceptable battery-life times. Therefore, low power opt...
Anupam Chattopadhyay, B. Geukes, David Kammler, Er...
"This book has evolved from materials used in an undergraduate course intended for final year undergraduate students whose background includes at least one year's experie...
Illumination inconsistencies cause serious problems for classical computer vision applications such as tracking and stereo matching. We present a new approach to model illuminatio...
Linear Discriminant Analysis (LDA) is one of the wellknown methods for supervised dimensionality reduction. Over the years, many LDA-based algorithms have been developed to cope w...
Cyclic motion underlies several human activities including exercising,running, and walking. Accurate tracking of such motion in video data helps in developing computer-aided appli...