We present an interactive, hybrid human-computer method for object classification. The method applies to classes of objects that are recognizable by people with appropriate expert...
Abstract. We propose motion manifold learning and motion primitive segmentation framework for human motion synthesis from motion-captured data. High dimensional motion capture date...
AI has many techniques and tools at its disposal, yet seems to be lacking some special "juice" needed to create a true being. We propose that the missing ingredients are ...
Constructing three-dimensional model from two-dimensional images is an old problem in the area of computer vision. There are many publications and our approach is specifically des...
Human motion can be seen as a type of texture pattern. In this paper, we adopt the ideas of spatiotemporal analysis and the use of local features for motion description. movements...