Methods for extracting features and classifying textures in high resolution colour images are presented. The proposed features are directional texture features obtained from the c...
The conventional area-based stereo matching algorithm suffers from two problems, the windowing problem and computational cost. Multiple scale analysis has long been adopted in vis...
Abstract. We apply three different modeling frameworks -- timed automata (Uppaal), colored Petri nets and synchronous data flow -- to model a challenging industrial case study that...
Georgeta Igna, Venkatesh Kannan, Yang Yang, Twan B...
A mixed-signal paradigm is presented for high-resolution parallel innerproduct computation in very high dimensions, suitable for efficient implementation of kernels in image proce...
Real world images often contain similar objects but with different rotations, noise, or other visual alterations. Vision systems should be able to recognize objects regardless of ...