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IVC
2008
94views more  IVC 2008»
13 years 7 months ago
Enhanced tracking and recognition of moving objects by reasoning about spatio-temporal continuity
A framework for the logical and statistical analysis and annotation of dynamic scenes containing occlusion and other uncertainties is presented. This framework consists of three e...
Brandon Bennett, Derek R. Magee, Anthony G. Cohn, ...
CAIP
2009
Springer
252views Image Analysis» more  CAIP 2009»
14 years 2 months ago
Incorporating Shape Features in an Appearance-Based Object Detection System
Most object detection techniques discussed in the literature are based solely on texture-based features that capture the global or local appearance of an object. While results indi...
Gurman Gill, Martin Levine
CGI
2006
IEEE
13 years 11 months ago
Rendering Optical Effects Based on Spectra Representation in Complex Scenes
Rendering the structural color of natural objects or modern industrial products in the 3D environment is not possible with RGBbased graphics platforms and software and very time co...
Weiming Dong
BCS
2008
13 years 9 months ago
Improved SIFT-Features Matching for Object Recognition
: The SIFT algorithm (Scale Invariant Feature Transform) proposed by Lowe [1] is an approach for extracting distinctive invariant features from images. It has been successfully app...
Faraj Alhwarin, Chao Wang, Danijela Ristic-Durrant...
IJCV
2006
115views more  IJCV 2006»
13 years 7 months ago
Object Recognition as Many-to-Many Feature Matching
Object recognition can be formulated as matching image features to model features. When recognition is exemplar-based, feature correspondence is one-to-one. However, segmentation e...
M. Fatih Demirci, Ali Shokoufandeh, Yakov Keselman...