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CVPR
2012
IEEE
11 years 9 months ago
Learning 3D object templates by hierarchical quantization of geometry and appearance spaces
This paper presents a method for learning 3D object templates from view labeled object images. The 3D template is defined in a joint appearance and geometry space, and is compose...
Wenze Hu
CVPR
2006
IEEE
14 years 1 months ago
Depth from Familiar Objects: A Hierarchical Model for 3D Scenes
We develop an integrated, probabilistic model for the appearance and three-dimensional geometry of cluttered scenes. Object categories are modeled via distributions over the 3D lo...
Erik B. Sudderth, Antonio B. Torralba, William T. ...
CVPR
2008
IEEE
14 years 1 months ago
Learning a geometry integrated image appearance manifold from a small training set
While low-dimensional image representations have been very popular in computer vision, they suffer from two limitations: (i) they require collecting a large and varied training se...
Yilei Xu, Amit K. Roy Chowdhury
ICRA
2009
IEEE
167views Robotics» more  ICRA 2009»
14 years 2 months ago
Articulated object tracking by rendering consistent appearance parts
— We describe a general methodology for tracking 3-dimensional objects in monocular and stereo video that makes use of GPU-accelerated filtering and rendering in combination wit...
Zachary A. Pezzementi, Sandrine Voros, Gregory D. ...
SGP
2003
13 years 8 months ago
High-Pass Quantization for Mesh Encoding
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,...
Olga Sorkine, Daniel Cohen-Or, Sivan Toledo