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» Learning Local Descriptors for Face Detection
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ICIP
2004
IEEE
15 years 11 months ago
Online face recognition system for videos based on modified probabilistic neural networks
Video retrieval in consumer applications demands high level semantic descriptors such as people's identity. The problem is that in a variety of videos such as home videos, Ho...
Jun Fan, Nevenka Dimitrova, Vasanth Philomin
ICPR
2004
IEEE
15 years 10 months ago
Real-Time Face Detection Using Boosting in Hierarchical Feature Spaces
Boosting-basedmethods have recently led to the state-ofthe-art face detection systems. In these systems, weak classifiers to be boosted are based on simple, local, Haar-like featu...
Daniel Gatica-Perez, Dong Zhang, Stan Z. Li
ICB
2007
Springer
683views Biometrics» more  ICB 2007»
15 years 3 months ago
Face Detection Based on Multi-Block LBP Representation
Effective and real-time face detection has been made possible by using the method of rectangle Haar-like features with AdaBoost learning since Viola and Jones’ work [12]. In this...
Lun Zhang, Rufeng Chu, Shiming Xiang, ShengCai Lia...
ICASSP
2010
IEEE
14 years 10 months ago
Visual saliency for automatic target detection, boundary detection, and image quality assessment
We present a visual saliency detection method and its applications. The proposed method does not require prior knowledge (learning) or any pre-processing step. Local visual descri...
Hae Jong Seo, Peyman Milanfar
BMVC
2010
14 years 7 months ago
High Five: Recognising human interactions in TV shows
In this paper we address the problem of recognising interactions between two people in realistic scenarios for video retrieval purposes. We develop a per-person descriptor that us...
Alonso Patron, Marcin Marszalek, Andrew Zisserman,...