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MVA
2002
123views Computer Vision» more  MVA 2002»
14 years 9 months ago
Pose Estimation for Insertion of Orbital Replacement Units Against Cluttered Background Using a Non-calibrated Camera
In this paper, we present work from our ongoing project on vision-guided retrieval and insertion of ORUs. Guidance is to be provided through estimated relative poses between an OR...
Chiun-Hong Chien
95
Voted
PRL
2008
124views more  PRL 2008»
14 years 9 months ago
Modeling human color categorization
Color matching in Content-Based Image Retrieval is done using a color space and measuring distances between colors. Such an approach yields nonintuitive results for the user. We i...
Egon L. van den Broek, Theo E. Schouten, P. M. F. ...
CVPR
2012
IEEE
13 years 18 days ago
Batch mode Adaptive Multiple Instance Learning for computer vision tasks
Multiple Instance Learning (MIL) has been widely exploited in many computer vision tasks, such as image retrieval, object tracking and so on. To handle ambiguity of instance label...
Wen Li, Lixin Duan, Ivor Wai-Hung Tsang, Dong Xu
CVPR
2005
IEEE
16 years 5 days ago
Efficient Image Matching with Distributions of Local Invariant Features
Sets of local features that are invariant to common image transformations are an effective representation to use when comparing images; current methods typically judge feature set...
Kristen Grauman, Trevor Darrell
CVPR
2007
IEEE
16 years 5 days ago
Learning Color Names from Real-World Images
Within a computer vision context color naming is the action of assigning linguistic color labels to image pixels. In general, research on color naming applies the following paradi...
Joost van de Weijer, Cordelia Schmid, Jakob J. Ver...