Method and apparatus for object recognition using probability models
作者： Sergey Ioffe
DOI:
关键词: Representation (systemics) 、 Object (computer science) 、 Computer science 、 Digital image 、 Cognitive neuroscience of visual object recognition 、 Computer vision 、 Method 、 Pattern recognition 、 Image (mathematics) 、 Gaussian network model 、 Feature (computer vision) 、 Artificial intelligence
摘要: A method and an apparatus automatically recognize or verify objects in a digital image using probability models. According to first aspect, by: accessing data including object of interest therein; detecting the image; normalizing generate normalized representation; extracting plurality features from applying each feature previously-determined additive model determine likelihood that belongs existing class. In one embodiment, is Additive Gaussian Model.
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