Given an arbitrary image, our goal is to segment all distinct
texture subimages. This is done by discovering distinct,
cohesive groups of spatially repeating patterns, called tex...
A novel framework for spatially estimating unknown image data is presented. Common applications include inpainting, concealment of transmission errors, prediction in video coding,...
Haricharan Lakshman, Patrick Ndjiki-Nya, Martin K&...
Complex human motion sequences (such as dances) are typically analyzed by segmenting them into shorter motion sequences, called gestures. However, this segmentation process is sub...
Inferring both 3D structure and motion of nonrigid objects from monocular images is an important problem in computational vision. The challenges stem not only from the absence of ...
We present an effective framework for segmenting 3D shapes into meaningful components using the curve skeleton. Our algorithm identifies a number of a critical points on the curv...