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» Scale-Hierarchical 3D Object Recognition in Cluttered Scenes
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3DPVT
2006
IEEE
190views Visualization» more  3DPVT 2006»
14 years 1 months ago
3D City Modeling Using Cognitive Loops
3D city modeling using computer vision is very challenging. A typical city contains objects which are a nightmare for some vision algorithms, while other algorithms have been desi...
Nico Cornelis, Bastian Leibe, Kurt Cornelis, Luc J...
ICCV
2007
IEEE
14 years 9 months ago
Depth Information by Stage Classification
Recently, methods for estimating 3D scene geometry or absolute scene depth information from 2D image content have been proposed. However, general applicability of these methods in...
André Redert, Arnold W. M. Smeulders, Jan-M...
PERCOM
2003
ACM
14 years 24 days ago
Object Labelling from Human Action Recognition
This paper presents a method for finding and classifying objects within real-world scenes by using the activity of humans interacting with these objects to infer the object’s i...
Patrick Peursum, Svetha Venkatesh, Geoff A. W. Wes...
ECCV
2002
Springer
14 years 9 months ago
SoftPOSIT: Simultaneous Pose and Correspondence Determination
The problem of pose estimation arises in many areas of computer vision, including object recognition, object tracking, site inspection and updating, and autonomous navigation when...
Philip David, Daniel DeMenthon, Ramani Duraiswami,...
IROS
2007
IEEE
254views Robotics» more  IROS 2007»
14 years 1 months ago
3D datasets segmentation based on local attribute variation
— We present a Graph-based method for low-level segmentation of unfiltered 3D data. The core of this approach is based on the construction of a local neighborhood structure and ...
Carla Silva Rocha Aguiar, Sébastien Druon, ...