Nearest neighborhood consistency is an important concept in statistical pattern recognition, which underlies the well-known k-nearest neighbor method. In this paper, we combine th...
Abstract. Purpose: To develop a system for assisting the analysis of capsuleendoscopy (CE) video data and identifying sequences of frames related to small intestine motility. Mater...
Splatting is widely applied in many areas, including volume, point-based, and image-based rendering. Improvements to splatting, such as eliminating popping and color bleeding, occ...
Jian Huang, Roger Crawfis, Naeem Shareef, Klaus Mu...
Markov random field (MRF) models, including conditional random field models, are popular in computer vision. However, in order to be computationally tractable, they are limited to ...
The analysis of texture is an important subroutine in application areas as diverse as biology, medicine, robotics, and forensic science. While the last three decades have seen ext...