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» Object Recognition by Implicit Invariants
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ICMCS
2007
IEEE
223views Multimedia» more  ICMCS 2007»
14 years 1 months ago
An Effective Local Invariant Descriptor Combining Luminance and Color Information
Extraction of stable local invariant features is very important in many computer vision applications, such as image matching, object recognition and image retrieval. Most existing...
Dong Zhang, Weiqiang Wang, Wen Gao, Shuqiang Jiang
AVBPA
2001
Springer
117views Biometrics» more  AVBPA 2001»
13 years 12 months ago
Hand Recognition Using Implicit Polynomials and Geometric Features
Person identification and verification using biometric methods is getting more and more important in today’s information society; resulting in increased utilization of systems th...
Cenker Öden, Aytül Erçil, Vedat T...
NIPS
1998
13 years 8 months ago
Making Templates Rotationally Invariant. An Application to Rotated Digit Recognition
This paper describes a simple and efficient method to make template-based object classification invariant to in-plane rotations. The task is divided into two parts: orientation di...
Shumeet Baluja
GECCO
2007
Springer
187views Optimization» more  GECCO 2007»
14 years 1 months ago
Defining implicit objective functions for design problems
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
Sean Hanna
ICPR
2002
IEEE
14 years 8 months ago
Rotation and Scale Invariant Shape Representation and Recognition Using Matching Pursuit
Using a low-level representation of images, like matching pursuit, we introduce a new way of describing objects through a general description using a translation, rotation, and is...
François Mendels, Pierre Vandergheynst, Jea...