We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
We present a statistical model for organizing image collections which integrates semantic information provided by associated text and visual information provided by image features...
In this paper, we introduce a completely new approach to fitting rectangles and squares to given closed regions using our published ideas in [6], [7], [8]. In these papers, we hav...
This paper presents a novel approach to detect and formulate time varying changes in texture content on a sequence of images registered from a scene by using Gabor wavelets repres...
—Many recognition procedures rely on the consistency of a subset of data features with a hypothesis as the sufficient evidence to the presence of the corresponding object. We ana...