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ACCV
2007
Springer
15 years 7 months ago
Hierarchical Learning of Dominant Constellations for Object Class Recognition
Abstract. The importance of spatial configuration information for object class recognition is widely recognized. Single isolated local appearance codes are often ambiguous. On the...
Nathan Mekuz, John K. Tsotsos
133
Voted
3DPVT
2006
IEEE
215views Visualization» more  3DPVT 2006»
15 years 6 months ago
Region-Based Motion Analysis and 3D Reconstruction for a Translational Video Sequence
This paper presents a hybrid 1D motion estimation algorithm which combines pixel-based and region-based approaches that can give depth images from translational video sequences wi...
Xiaodong Huang, Eric Dubois
CVPR
2006
IEEE
15 years 6 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. ...
97
Voted
ICMCS
2006
IEEE
143views Multimedia» more  ICMCS 2006»
15 years 6 months ago
Object Recognition and Recovery by Skeleton Graph Matching
This paper presents a robust and efficient skeleton-based graph matching method for object recognition and recovery applications. The novel feature is to unify both object recogni...
Lei He, Chia Y. Han, William G. Wee
90
Voted
IROS
2006
IEEE
83views Robotics» more  IROS 2006»
15 years 6 months ago
Using Orthogonal Surface Directions for Autonomous 3D-Exploration of Indoor Environments
— This paper proposes a new tracking algorithm within a 3D-SLAM framework that takes segmented range images as observations. The framework has two layers: the local layer tracks ...
Peter Kohlhepp, Georg Bretthauer, Marcus Walther, ...