In this study, we address the problem of 3-D dense metric reconstruction and registration from multiple images, given that the observed surface is nearly planar. This is difficult...
Object detection in clutter or occlusion is a hard problem in computer vision. We propose an object detection method based on contour grouping. Two stages are included: a novel di...
Automated detection and segmentation of nuclear and glandular structures is critical for classification and grading of prostate and breast cancer histopathology. In this paper, w...
Shivang Naik, Scott Doyle, Shannon Agner, Anant Ma...
The detection and tracking of three-dimensional human body models has progressed rapidly but successful approaches typically rely on accurate foreground silhouettes obtained using...