We present a new algorithm to detect humans in still images utilizing covariance matrices as object descriptors. Since these descriptors do not lie on a vector space, well known m...
It is now commonly assumed that the human visual attention, which is a selecting process of the most relevant locations in a scene according to a particular behavior, is driven by...
Olivier Le Meur, Patrick Le Callet, Dominique Barb...
This paper presents a novel approach that three-dimensionally visualizes and evaluates stenoses in human coronary arteries by using harmonic skeletons. A harmonic skeleton is the c...
Yan Yang, Lei Zhu, Steven Haker, Allen Tannenbaum,...
Present approaches to human face detection have made several assumptions that restrict their ability to be extended to general imaging conditions. We identify that the key factori...
Many current human face detection algorithmsmake implicit assumptions about the scale, orientation or viewpoint of faces in an image and exploit these constraints to detect and lo...