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» Object Recognition from Local Scale-Invariant Features
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SPIESR
2000
104views Database» more  SPIESR 2000»
14 years 10 months ago
Feature localization and search by object model under illumination change
Color object recognition methods that are based on image retrieval algorithms can handle changes of illumination via image normalization, e.g. simple color-channel-normalization1 ...
Mark S. Drew, Zinovi Tauber, Ze-Nian Li
DAGM
2006
Springer
15 years 1 months ago
Analysis on a Local Approach to 3D Object Recognition
Abstract. We present a method for 3D object modeling and recognition which is robust to scale and illumination changes, and to viewpoint variations. The object model is derived fro...
Elisabetta Delponte, Elise Arnaud, Francesca Odone...
IDEAL
2005
Springer
15 years 2 months ago
Weighted SOM-Face: Selecting Local Features for Recognition from Individual Face Image
Abstract. In human face recognition, different facial regions have different degrees of importance, and exploiting such information would hopefully improve the accuracy of the reco...
Xiaoyang Tan, Jun Liu, Songcan Chen, Fuyan Zhang
TCSV
2008
120views more  TCSV 2008»
14 years 9 months ago
A Parallel Hardware Architecture for Scale and Rotation Invariant Feature Detection
Abstract--This paper proposes a parallel hardware architecture for image feature detection based on the SIFT (Scale Invariant Feature Transform) algorithm and applied to the SLAM (...
Vanderlei Bonato, Eduardo Marques, George A. Const...
ICPR
2004
IEEE
15 years 10 months ago
Object Recognition Using Segmentation for Feature Detection
: A new method is presented to learn object categories from unlabeled and unsegmented images for generic object recognition. We assume that each object can be characterized by a se...
Andreas Opelt, Axel Pinz, Michael Fussenegger, Pet...