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PRL
2007
166views more  PRL 2007»
13 years 7 months ago
Boosted Landmarks of Contextual Descriptors and Forest-ECOC: A novel framework to detect and classify objects in cluttered scene
In this paper, we present a novel methodology to detect and recognize objects in cluttered scenes by proposing boosted contextual descriptors of landmarks in a framework of multi-...
Sergio Escalera, Oriol Pujol, Petia Radeva
ICCV
2009
IEEE
15 years 13 days ago
Subspace Constrained Mean-Shift
Deformable model fitting has been actively pursued in the computer vision community for over a decade. As a result, numerous approaches have been proposed with varying degrees of...
Jason M. Saragih, Simon Lucey, Jeffrey F. Cohn
JFR
2008
87views more  JFR 2008»
13 years 7 months ago
Robust vision-based underwater homing using self-similar landmarks
Next generation Autonomous Underwater Vehicles (AUVs) will be required to robustly identify underwater targets for tasks such as inspection, localization and docking. Given their ...
Amaury Nègre, Cédric Pradalier, Matt...
FGR
2008
IEEE
180views Biometrics» more  FGR 2008»
13 years 7 months ago
Person-specific face recognition in unconstrained environments: a combination of offline and online learning
This paper studies face recognition and person-specific face image retrieval in unconstrained environments. The proposed method consists of two parts: offline and online learning....
Bangpeng Yao, Haizhou Ai, Shihong Lao
PR
2007
136views more  PR 2007»
13 years 7 months ago
Shadow compensation in 2D images for face recognition
Illumination variation that occurs on face images degrades the performance of face recognition. In this paper, we propose a novel approach to handling illumination variation for f...
Sang-Il Choi, Chunghoon Kim, Chong-Ho Choi