We present a novel structure learning method, Max Margin AND/OR Graph (MM-AOG), for parsing the human body into parts and recovering their poses. Our method represents the human b...
Long Zhu, Yuanhao Chen, Yifei Lu, Chenxi Lin, Alan...
We present a robust method for 3D reconstruction of closed surfaces from sparsely sampled parallel contours. A solution to this problem is especially important for medical segment...
Building on the work of games theorists and virtual world designers, this paper proposes a framework for understanding the real-virtual dichotomy in terms of a series of five fram...
ks: Abstraction and Rendering of Sparsely Scanned Outdoor Environments Hui Xu, Nathan Gossett and Baoquan Chen University of Minnesota Digital Technology Center at Twin Cities † ...
Any quantization introduces errors. An important question is how to suppress their visual effect. In this paper we present a new quantization method for the geometry of 3D meshes,...