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DICTA
2003
15 years 3 months ago
A New Shape Matching Measure for Nonlinear Distorted Object Recognition
In this paper, we present a new approach for hand-written character and digit recognitions based on shape descriptor and the Hausdorff Context. We start at finding the correspondi...
Sanun Srisuk, Marut Tamsri, Rerkchai Fooprateepsir...
150
Voted
ACCV
2010
Springer
14 years 9 months ago
3D Object Recognition Based on Canonical Angles between Shape Subspaces
We propose a method to measure similarity of shape for 3D objects using 3-dimensional shape subspaces produced by the factorization method. We establish an index of shape similarit...
Yosuke Igarashi, Kazuhiro Fukui
DAGM
2005
Springer
15 years 7 months ago
Rapid Online Learning of Objects in a Biologically Motivated Recognition Architecture
We present an approach for the supervised online learning of object representations based on a biologically motivated architecture of visual processing. We use the output of a rece...
Stephan Kirstein, Heiko Wersing, Edgar Körner
CVPR
2012
IEEE
13 years 4 months ago
SURFing the point clouds: Selective 3D spatial pyramids for category-level object recognition
This paper proposes a novel approach to recognize object categories in point clouds. By quantizing 3D SURF local descriptors, computed on partial 3D shapes extracted from the poin...
Carolina Redondo-Cabrera, Roberto Javier Ló...
ECCV
2004
Springer
16 years 4 months ago
Weak Hypotheses and Boosting for Generic Object Detection and Recognition
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
Andreas Opelt, Michael Fussenegger, Axel Pinz, Pet...