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...

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Bibliographische Detailangaben

Weitere Verfasser:	Shah, Mubarak (HerausgeberIn), Kumar, Rakesh (HerausgeberIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	New York, NY Springer US 2003
Ausgabe:	1st ed. 2003
Schriftenreihe:	The International Series in Video Computing 5
Schlagworte:	Computer Applications Image Processing and Computer Vision Signal, Image and Speech Processing Computer Imaging, Vision, Pattern Recognition and Graphics Multimedia Information Systems Information Storage and Retrieval Application software Optical data processing Signal processing Image processing Speech processing systems Multimedia information systems Information storage and retrieval Bildverarbeitung Digitale Videotechnik
Online-Zugang:	UBY01 Volltext
Zusammenfassung:	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 analyz­ ing image sequences, or video understanding. Video understanding deals with understanding of video sequences, e. g. , recognition of gestures, activities, fa­ cial 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 gener­ ate 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
Beschreibung:	1 Online-Ressource (XIV, 257 p)
ISBN:	9781461504597
DOI:	10.1007/978-1-4615-0459-7