Front-End Vision and Multi-Scale Image Analysis

Name: Front-End Vision and Multi-Scale Image Analysis
Brand: Springer Netherlands
SKU: 9781402015076
Price: 893.22 RON
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Multi-scale Computer Vision Theory and Applications, written in Mathematica

Autor: Bart ter Haar Romeny

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Legare: Copertă tare

Editura: Springer Netherlands

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Many approaches have been proposed to solve the problem of finding the optic flow field of an image...

Informații despre carte

Autor

Bart ter Haar Romeny

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2011

Pagini

460

EAN

9781402015076

ISBN

1402015070

Enbook ID

02706141

Editura

Springer Netherlands

Greutate

685

Dimensiuni

160 x 240 x 24

Descriere completă

Many approaches have been proposed to solve the problem of finding the optic flow field of an image sequence. Three major classes of optic flow computation techniques can discriminated (see for a good overview Beauchemin and Barron IBeauchemin19951): gradient based (or differential) methods; phase based (or frequency domain) methods; correlation based (or area) methods; feature point (or sparse data) tracking methods; In this chapter we compute the optic flow as a dense optic flow field with a multi scale differential method. The method, originally proposed by Florack and Nielsen [Florack1998a] is known as the Multiscale Optic Flow Constrain Equation (MOFCE). This is a scale space version of the well known computer vision implementation of the optic flow constraint equation, as originally proposed by Horn and Schunck [Horn1981]. This scale space variation, as usual, consists of the introduction of the aperture of the observation in the process. The application to stereo has been described by Maas et al. [Maas 1995a, Maas 1996a]. Of course, difficulties arise when structure emerges or disappears, such as with occlusion, cloud formation etc. Then knowledge is needed about the processes and objects involved. In this chapter we focus on the scale space approach to the local measurement of optic flow, as we may expect the visual front end to do. 17. 2 Motion detection with pairs of receptive fields As a biologically motivated start, we begin with discussing some neurophysiological findings in the visual system with respect to motion detection.

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Front-End Vision and Multi-Scale Image Analysis

Multi-scale Computer Vision Theory and Applications, written in Mathematica

Informații despre carte

Descriere completă

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