Literature DB >> 2257281

Generalized gradient schemes for the measurement of two-dimensional image motion.

M V Srinivasan1.   

Abstract

This paper describes a procedure for recovering the global velocity of an image by incorporating spatial filtering, and optionally, temporal filtering, into a scheme that employs a generalized version of the gradient algorithm of motion detection. Motion within a patch is analysed by six parallel channels, each incorporating a different spatiotemporal filter. Advantageous features of this scheme are: (a) global velocity is derived directly, without first computing local velocity at a number of image locations; (b) the filters compute first derivatives rather than second derivatives, making the scheme potentially more resistant to noise than certain other schemes; (c) two of the six filters can be chosen almost completely arbitrarily, and can therefore be tailored to maximize signal reliability, and (d) the measurement of velocity can be made as local or as global as desired by altering the size of the patch that is viewed by the filters. An analogous scheme is derived for the measurement of rotation as well as expansion or contraction of the image.

Mesh:

Year:  1990        PMID: 2257281     DOI: 10.1007/bf00199574

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  19 in total

1.  Associative learning of scene parameters from images.

Authors:  D Kersten; A J O'Toole; M E Sereno; D C Knill; J A Anderson
Journal:  Appl Opt       Date:  1987-12-01       Impact factor: 1.980

2.  A proposed mechanism for multiplication of neural signals.

Authors:  M V Srinivasan; G D Bernard
Journal:  Biol Cybern       Date:  1976-02-05       Impact factor: 2.086

Review 3.  Visual processing in monkey extrastriate cortex.

Authors:  J H Maunsell; W T Newsome
Journal:  Annu Rev Neurosci       Date:  1987       Impact factor: 12.449

Review 4.  Principles of visual motion detection.

Authors:  A Borst; M Egelhaaf
Journal:  Trends Neurosci       Date:  1989-08       Impact factor: 13.837

5.  Bi-partitioning and boundary detection in natural scenes.

Authors:  D Osorio; A W Snyder; M V Srinivasan
Journal:  Spat Vis       Date:  1987

6.  Computer vision: a source of models for biological visual processes?

Authors:  A Rosenfeld
Journal:  IEEE Trans Biomed Eng       Date:  1989-01       Impact factor: 4.538

7.  The perception of moving stimuli: a model of spatiotemporal coding in human vision.

Authors:  M G Harris
Journal:  Vision Res       Date:  1986       Impact factor: 1.886

8.  Some tests of the Marr-Ullman model of movement detection.

Authors:  B Moulden; H Begg
Journal:  Perception       Date:  1986       Impact factor: 1.490

9.  Spatiotemporal energy models for the perception of motion.

Authors:  E H Adelson; J R Bergen
Journal:  J Opt Soc Am A       Date:  1985-02       Impact factor: 2.129

10.  Phase relationships between adjacent simple cells in the visual cortex.

Authors:  D A Pollen; S F Ronner
Journal:  Science       Date:  1981-06-19       Impact factor: 47.728

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  7 in total

1.  Fly motion vision is based on Reichardt detectors regardless of the signal-to-noise ratio.

Authors:  J Haag; W Denk; A Borst
Journal:  Proc Natl Acad Sci U S A       Date:  2004-11-08       Impact factor: 11.205

2.  Propagation of photon noise and information transfer in visual motion detection.

Authors:  Lei Shi; Alexander Borst
Journal:  J Comput Neurosci       Date:  2006-04-22       Impact factor: 1.621

3.  Correlation versus gradient type motion detectors: the pros and cons.

Authors:  Alexander Borst
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2007-03-29       Impact factor: 6.237

Review 4.  Common circuit design in fly and mammalian motion vision.

Authors:  Alexander Borst; Moritz Helmstaedter
Journal:  Nat Neurosci       Date:  2015-06-29       Impact factor: 24.884

Review 5.  Modeling human motion perception. I. Classical stimuli.

Authors:  J Zanker
Journal:  Naturwissenschaften       Date:  1994-04

6.  GABAergic lateral interactions tune the early stages of visual processing in Drosophila.

Authors:  Limor Freifeld; Damon A Clark; Mark J Schnitzer; Mark A Horowitz; Thomas R Clandinin
Journal:  Neuron       Date:  2013-06-19       Impact factor: 17.173

7.  Neural correlates of illusory motion perception in Drosophila.

Authors:  John C Tuthill; M Eugenia Chiappe; Michael B Reiser
Journal:  Proc Natl Acad Sci U S A       Date:  2011-05-17       Impact factor: 11.205

  7 in total

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