Segmentation of medical images is commonly formulated as a supervised learning problem, where manually labeled training data are summarized using a parametric atlas. Summarizing th...
Mert R. Sabuncu, B. T. Thomas Yeo, Koen Van Leem...
We propose a reliability measure that identifies informative image cues useful for registration, and present a novel, data-driven approach to spatially adapt regularization to the...
Digital colour cameras are dramatically falling in price, making them affordable for ubiquitous appliances in many applications. An attempt to use colour information reveals a si...
Guy K. Kloss, Napoleon H. Reyes, Martin J. Johnson...
The photorealistic modeling of large-scale scenes, such as urban structures, requires a fusion of range sensing technology and traditional digital photography. This paper presents...
Lingyun Liu, Gene Yu, George Wolberg, Siavash Zoka...
Occlusion is one of the challenging problems in stereo. In this paper, we solve the problem in a segment-based style. Both images are segmented, and we propose a novel patchbased ...