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CVPR
2007
IEEE
15 years 11 months ago
3D Probabilistic Feature Point Model for Object Detection and Recognition
This paper presents a novel statistical shape model that can be used to detect and localise feature points of a class of objects in images. The shape model is inspired from the 3D...
Sami Romdhani, Thomas Vetter
ICPR
2010
IEEE
14 years 12 months ago
Natural Material Recognition with Illumination Invariant Textural Features
Abstract—A visual appearance of natural materials fundamentally depends on illumination conditions, which significantly complicates a real scene analysis. We propose textural fe...
Pavel Vacha, Michael Haindl
IJON
2007
166views more  IJON 2007»
14 years 9 months ago
Kernel PCA for similarity invariant shape recognition
We present in this paper a novel approach for shape description based on kernel principal component analysis (KPCA). The strength of this method resides in the similarity (rotatio...
Hichem Sahbi
ICDAR
2003
IEEE
15 years 2 months ago
Improvement of Matching and Evaluation in Handwritten Numeral Recognition Using Flexible Standard Patterns
The purpose of this study is to develop a flexible matching method for recognizing handwritten numerals based on the statistics of shapes and structures learned from learning sam...
Hirokazu Muramatsu, Takashi Kobayashi, Takahiro Su...
CVPR
2005
IEEE
15 years 11 months ago
Hybrid Models for Human Motion Recognition
Probabilistic models have been previously shown to be efficient and effective for modeling and recognition of human motion. In particular we focus on methods which represent the h...
Claudio Fanti, Lihi Zelnik-Manor, Pietro Perona