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» Face detection with boosted Gaussian features
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ICIP
2008
IEEE
14 years 9 months ago
Implicit spatial inference with sparse local features
This paper introduces a novel way to leverage the implicit geometry of sparse local features (e.g. SIFT operator) for the purposes of object detection and segmentation. A two-clas...
Deirdre O'Regan, Anil C. Kokaram
COST
2008
Springer
186views Multimedia» more  COST 2008»
13 years 9 months ago
Automatic Motherese Detection for Face-to-Face Interaction Analysis
This paper deals with emotional speech detection in home movies. In this study, we focus on infant-directed speech also called "motherese" which is characterized by highe...
Ammar Mahdhaoui, Mohamed Chetouani, Cong Zong, Raq...
IJIT
2004
13 years 8 months ago
Morphing Human Faces: Automatic Control Points Selection And Color Transition
In this paper, we propose a morphing method by which face color images can be freely transformed. The main focus of this work is the transformation of one face image to another. Th...
Stephen Karungaru, Minoru Fukumi, Norio Akamatsu
ICCV
2009
IEEE
1425views Computer Vision» more  ICCV 2009»
14 years 10 months ago
Fast Ray Features for Learning Irregular Shapes
We introduce a new class of image features, the Ray feature set, that consider image characteristics at distant contour points, capturing information which is difficult to repre...
Kevin Smith, Alan Carleton, Vincent Lepetit
ICIP
2009
IEEE
14 years 8 months ago
Facial Marks: Soft Biometric For Face Recognition
We propose to utilize micro features, namely facial marks (e.g., freckles, moles, and scars) to improve face recognition and retrieval performance. Facial marks can be used in thr...