In this paper, we present a strategy to implement multi-pose face detection in compressed domain. The strategy extracts firstly feature vectors from DCT domain, and then uses a boosting algorithm to build classificrs ...In this paper, we present a strategy to implement multi-pose face detection in compressed domain. The strategy extracts firstly feature vectors from DCT domain, and then uses a boosting algorithm to build classificrs to distinguish faces and non-faces. Moreover, to get more accurate results of the face detection, we present a kernel function and a linear combination to build incrementally the strong classifiers based on the weak classifiers. Through comparing and analyzing results of some experiments on the synthetic data and the natural data, we can get more satisfied results by the strong classifiers than by the weak classifies. Key words weak classifier - boosting algorithm - face detection - compressed domain CLC number TP 391. 41 Foundation item: Supported by the National 863 Program (2002 AA11101) and Open Fund of State Technology Center of Multimedia Software Engineering (621-273128)Biography: CHEN Lei(1978-), male, Master, research direction: image process, image recognition and AI.展开更多
Peripheral neuropathies refer to a group of conditions in which the peripheral nervous system(PNS)is damaged.These pathological state are are associated with weakness,pain,and loss of motor and sensory control.More th...Peripheral neuropathies refer to a group of conditions in which the peripheral nervous system(PNS)is damaged.These pathological state are are associated with weakness,pain,and loss of motor and sensory control.More than 100 types of peripheral neuropathies have been identified,with distinct symptoms and prognosis classified according to the type of damage to the nerves.Injury to peripheral nerves results in disabling loss of sensory and motor func-展开更多
文摘In this paper, we present a strategy to implement multi-pose face detection in compressed domain. The strategy extracts firstly feature vectors from DCT domain, and then uses a boosting algorithm to build classificrs to distinguish faces and non-faces. Moreover, to get more accurate results of the face detection, we present a kernel function and a linear combination to build incrementally the strong classifiers based on the weak classifiers. Through comparing and analyzing results of some experiments on the synthetic data and the natural data, we can get more satisfied results by the strong classifiers than by the weak classifies. Key words weak classifier - boosting algorithm - face detection - compressed domain CLC number TP 391. 41 Foundation item: Supported by the National 863 Program (2002 AA11101) and Open Fund of State Technology Center of Multimedia Software Engineering (621-273128)Biography: CHEN Lei(1978-), male, Master, research direction: image process, image recognition and AI.
基金funded by FONDAP program 15150012(to CH and FAC)Millennium Institute,No.P09-015-F+12 种基金the Frick Foundation 20014-15ALS Therapy Alliance 2014-F-059Muscular Dystrophy Association 382453CONICYT-USA 2013-0003Michael J Fox Foundation for Parkinson′s Research–Target Validation grant No.9277COPEC-UC Foundation 2013.R.40Ecos-Conicyt C13S02FONDECYT No.1140549Office of Naval Research-Global(ONR-G)N62909-16-1-2003ALSRP Therapeutic Idea Award AL150111(to CH)Millennium Nucleus-P-07-011-FFONDECYT,No.1110987(to FAC)PhD fellow supported by CONICYT,No.21130843(to MO)
文摘Peripheral neuropathies refer to a group of conditions in which the peripheral nervous system(PNS)is damaged.These pathological state are are associated with weakness,pain,and loss of motor and sensory control.More than 100 types of peripheral neuropathies have been identified,with distinct symptoms and prognosis classified according to the type of damage to the nerves.Injury to peripheral nerves results in disabling loss of sensory and motor func-
