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Erschienen in:
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2014 | OriginalPaper | Buchkapitel

3. Pre-processing

verfasst von : Prashan Premaratne

Erschienen in: Human Computer Interaction Using Hand Gestures

Verlag: Springer Singapore

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Abstract

Computer vision is aimed at simulating the human visual system in order to extract useful information for machines to make decisions. A visual camera is usually used for this purpose which detects brightness, colour, texture and dimensions of an object in focus. When a camera captures scenery, it contains both ‘wanted’ as well as ‘unwanted’ information. If the camera is focussed on a person’s hand looking for a possible gesture, then the ‘unwanted’ objects in the scenery would be the background which may contain the person’s body, clothing, other people, pets, walls, windows, curtains or any other equipment. Since the system is developed to respond to gestures, the system would try to extract only the ‘wanted’ information. However, as the system would not have the level of intelligence as a human, it relies on ‘clues’ to extract only the ‘wanted’ objects.

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Vorheriges Kapitel Historical Development of Hand Gesture Recognition
Nächstes Kapitel Feature Extraction
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Metadaten
Titel
Pre-processing
verfasst von
Prashan Premaratne
Copyright-Jahr
2014
Verlag
Springer Singapore
Buch
Human Computer Interaction Using Hand Gestures

Print ISBN: 978-981-4585-68-2

Electronic ISBN: 978-981-4585-69-9

Copyright-Jahr: 2014

DOI
https://doi.org/10.1007/978-981-4585-69-9_3

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