Rapid classification of specular and diffuse reflection from image velocities

K. Doerschner; D. Kersten; P. R. Schrater

doi:10.1016/j.patcog.2010.09.007

Rapid classification of specular and diffuse reflection from image velocities

K. Doerschner, D. Kersten, P. R. Schrater

Psychology (Twin Cities)

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17 Scopus citations

Abstract

We propose a method for rapidly classifying surface reflectance directly from the output of spatio-temporal filters applied to an image sequence of rotating objects. Using image data from only a single frame, we compute histograms of image velocities and classify these as being generated by a specular or a diffusely reflecting object. Exploiting characteristics of material-specific image velocities we show that our classification approach can predict the reflectance of novel 3D objects, as well as human perception.

Original language	English (US)
Pages (from-to)	1874-1884
Number of pages	11
Journal	Pattern Recognition
Volume	44
Issue number	9
DOIs	https://doi.org/10.1016/j.patcog.2010.09.007
State	Published - Sep 2011

Bibliographical note

Funding Information:
KD has been supported by an EC FP7 Marie Curie IRG-239494. Further funding was provided by an NIH RO1 EY015261.

Keywords

Material perception
Rapid surface reflectance classification
Spatio-temporal filtering
Specular flow
Velocity histogram

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10.1016/j.patcog.2010.09.007

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title = "Rapid classification of specular and diffuse reflection from image velocities",

abstract = "We propose a method for rapidly classifying surface reflectance directly from the output of spatio-temporal filters applied to an image sequence of rotating objects. Using image data from only a single frame, we compute histograms of image velocities and classify these as being generated by a specular or a diffusely reflecting object. Exploiting characteristics of material-specific image velocities we show that our classification approach can predict the reflectance of novel 3D objects, as well as human perception.",

keywords = "Material perception, Rapid surface reflectance classification, Spatio-temporal filtering, Specular flow, Velocity histogram",

author = "K. Doerschner and D. Kersten and Schrater, {P. R.}",

note = "Funding Information: KD has been supported by an EC FP7 Marie Curie IRG-239494. Further funding was provided by an NIH RO1 EY015261. ",

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AU - Doerschner, K.

AU - Kersten, D.

AU - Schrater, P. R.

N1 - Funding Information: KD has been supported by an EC FP7 Marie Curie IRG-239494. Further funding was provided by an NIH RO1 EY015261.

PY - 2011/9

Y1 - 2011/9

N2 - We propose a method for rapidly classifying surface reflectance directly from the output of spatio-temporal filters applied to an image sequence of rotating objects. Using image data from only a single frame, we compute histograms of image velocities and classify these as being generated by a specular or a diffusely reflecting object. Exploiting characteristics of material-specific image velocities we show that our classification approach can predict the reflectance of novel 3D objects, as well as human perception.

AB - We propose a method for rapidly classifying surface reflectance directly from the output of spatio-temporal filters applied to an image sequence of rotating objects. Using image data from only a single frame, we compute histograms of image velocities and classify these as being generated by a specular or a diffusely reflecting object. Exploiting characteristics of material-specific image velocities we show that our classification approach can predict the reflectance of novel 3D objects, as well as human perception.

KW - Material perception

KW - Rapid surface reflectance classification

KW - Spatio-temporal filtering

KW - Specular flow

KW - Velocity histogram

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SP - 1874

EP - 1884

JO - Pattern Recognition

JF - Pattern Recognition

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ER -

Rapid classification of specular and diffuse reflection from image velocities

Abstract

Bibliographical note

Keywords

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