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» Probabilistic Modeling and Recognition of 3-D Objects
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IROS
2007
IEEE
254views Robotics» more  IROS 2007»
14 years 2 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, ...
ICIP
2009
IEEE
13 years 5 months ago
Lamp: Linear approach for matching points
The 3D object recognition from a single or multiple 2D images is a very important problem in the computer vision field with a wide range of real applications. Considering the affi...
Manuel Marques, João Costeira
CVPR
2010
IEEE
14 years 4 months ago
Toward Coherent Object Detection And Scene Layout Understanding
Detecting objects in complex scenes while recovering the scene layout is a critical functionality in many vision-based applications. Inspired by the work of [18], we advocate the ...
Yingze Bao, Min Sun, Silvio Savarese
ICPR
2006
IEEE
14 years 8 months ago
Target Model Estimation using Particle Filters for Visual Servoing
In this paper, we present a novel method for model estimation for visual servoing. This method employs a particle filter algorithm to estimate the depth of the image features onli...
A. H. Abdul Hafez, C. V. Jawahar
PAMI
2002
112views more  PAMI 2002»
13 years 7 months ago
Feature Space Trajectory Methods for Active Computer Vision
We advance new active object recognition algorithms that classify rigid objects and estimate their pose from intensity images. Our algorithms automatically detect if the class or p...
Michael A. Sipe, David Casasent