Face Detection and Gesture Recognition for Human-Computer Interaction

Name: Face Detection and Gesture Recognition for Human-Computer Interaction
Brand: Springer-Verlag New York Inc.
SKU: 9781461355465
Price: 38290 HUF
Availability: InStock

Szerző: Ming-Hsuan Yang, Narendra Ahuja

Nyelv:

Kötés: Puha kötésű

Kiadó: Springer-Verlag New York Inc.

Elérhetőség: Beszállítói készleten

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Traditionally, scientific fields have defined boundaries, and scientists work on research problems w...

Információk a könyvről

Szerző

Ming-Hsuan Yang, Narendra Ahuja

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2012

oldal

182

EAN

9781461355465

ISBN

146135546X

Enbook ID

06796398

Kiadó

Springer-Verlag New York Inc.

Súly

314

Méretek

155 x 235 x 13

Teljes leírás

Traditionally, scientific fields have defined boundaries, and scientists work on research problems within those boundaries. However, from time to time those boundaries get shifted or blurred to evolve new fields. For instance, the original goal of computer vision was to understand a single image of a scene, by identifying objects, their structure, and spatial arrangements. This has been referred to as image understanding. Recently, computer vision has gradually been making the transition away from understanding single images to analyzing image sequences, or video understanding. Video understanding deals with understanding of video sequences, e. g. , recognition of gestures, activities, facial expressions, etc. The main shift in the classic paradigm has been from the recognition of static objects in the scene to motion-based recognition of actions and events. Video understanding has overlapping research problems with other fields, therefore blurring the fixed boundaries. Computer graphics, image processing, and video databases have obvious overlap with computer vision. The main goal of computer graphics is to gener ate and animate realistic looking images, and videos. Researchers in computer graphics are increasingly employing techniques from computer vision to gen erate the synthetic imagery. A good example of this is image-based rendering and modeling techniques, in which geometry, appearance, and lighting is de rived from real images using computer vision techniques. Here the shift is from synthesis to analysis followed by synthesis.

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Face Detection and Gesture Recognition for Human-Computer Interaction

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