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CVPR
2007
IEEE
15 years 3 months ago
Inferring 3D Volumetric Shape of Both Moving Objects and Static Background Observed by a Moving Camera
We present a novel approach to inferring 3D volumetric shape of both moving objects and static background from video sequences shot by a moving camera, with the assumption that th...
Chang Yuan, Gérard G. Medioni
ICPR
2010
IEEE
15 years 6 months ago
On a Quest for Image Descriptors Based on Unsupervised Segmentation Maps
This paper investigates segmentation-based image descriptors for object category recognition. In contrast to commonly used interest points the proposed descriptors are extracted f...
Piotr Koniusz, Krystian Mikolajczyk
CVPR
2005
IEEE
16 years 1 months ago
A Sparse Object Category Model for Efficient Learning and Exhaustive Recognition
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a semisupervised manner: the model is learnt from example ...
Robert Fergus, Pietro Perona, Andrew Zisserman
ISVD
2007
IEEE
15 years 6 months ago
Voronoi Diagram with Respect to Criteria on Vision Information
Voronoi diagram for a set of geometric objects is a partition of the plane (or space in higher dimensions) into disjoint regions each dominated by some given object under a predet...
Tetsuo Asano, Naoki Katoh, Hisao Tamaki, Takeshi T...
IROS
2007
IEEE
254views Robotics» more  IROS 2007»
15 years 6 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, ...