Compression Coding Using an Optical Model for a Pair of Range and Grey-Scale Images of 3D Objects

Kefei WANG; Ryuji KOHNO

Compression Coding Using an Optical Model for a Pair of Range and Grey-Scale Images of 3D Objects

Kefei WANG, Ryuji KOHNO

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When an image of a 3D object is transmitted or recorded, its range image as well its grey-scale image are required. In this paper, we propose a method of coding for efficient compression of a pair of a pair of range and grey-scale images of 3D objects. We use Lambertian reflection optical model to model the relationship between a 3D object shape and it's brightness. Good illuminant direction estimation leads to good grey-scale image generation and furthermore effects compression results. A method for estimating the illuminant derection and composite albedo from grey-scale image statistics is presented. We propose an approach for estimating the slant angle of illumination based on an optical model from a pair of range and grey-scale images. Estimation result shows that our approach is better. Using the estimated parameters of illuminant direction and composite albedo a synthetic grey-scale image is generated. For comparison, a comparison coding method is used, in which we assume that the range and grey-scale images are compressed separately. We propose an efficient compression coding method for a pair of range and grey-scale images in which we use the correlation between range and grey-scale images, and compress them together. We also evaluate the coding method on a workstation and show numerical results.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E79-A No.9 pp.1330-1337

Publication Date: 1996/09/25

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Type of Manuscript: Special Section PAPER (Special Section on Information Theory and Its Applications)

Category: Source Coding/Security

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Kefei WANG, Ryuji KOHNO, "Compression Coding Using an Optical Model for a Pair of Range and Grey-Scale Images of 3D Objects" in IEICE TRANSACTIONS on Fundamentals, vol. E79-A, no. 9, pp. 1330-1337, September 1996, doi: .
Abstract: When an image of a 3D object is transmitted or recorded, its range image as well its grey-scale image are required. In this paper, we propose a method of coding for efficient compression of a pair of a pair of range and grey-scale images of 3D objects. We use Lambertian reflection optical model to model the relationship between a 3D object shape and it's brightness. Good illuminant direction estimation leads to good grey-scale image generation and furthermore effects compression results. A method for estimating the illuminant derection and composite albedo from grey-scale image statistics is presented. We propose an approach for estimating the slant angle of illumination based on an optical model from a pair of range and grey-scale images. Estimation result shows that our approach is better. Using the estimated parameters of illuminant direction and composite albedo a synthetic grey-scale image is generated. For comparison, a comparison coding method is used, in which we assume that the range and grey-scale images are compressed separately. We propose an efficient compression coding method for a pair of range and grey-scale images in which we use the correlation between range and grey-scale images, and compress them together. We also evaluate the coding method on a workstation and show numerical results.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/e79-a_9_1330/_p

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@ARTICLE{e79-a_9_1330,
author={Kefei WANG, Ryuji KOHNO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Compression Coding Using an Optical Model for a Pair of Range and Grey-Scale Images of 3D Objects},
year={1996},
volume={E79-A},
number={9},
pages={1330-1337},
abstract={When an image of a 3D object is transmitted or recorded, its range image as well its grey-scale image are required. In this paper, we propose a method of coding for efficient compression of a pair of a pair of range and grey-scale images of 3D objects. We use Lambertian reflection optical model to model the relationship between a 3D object shape and it's brightness. Good illuminant direction estimation leads to good grey-scale image generation and furthermore effects compression results. A method for estimating the illuminant derection and composite albedo from grey-scale image statistics is presented. We propose an approach for estimating the slant angle of illumination based on an optical model from a pair of range and grey-scale images. Estimation result shows that our approach is better. Using the estimated parameters of illuminant direction and composite albedo a synthetic grey-scale image is generated. For comparison, a comparison coding method is used, in which we assume that the range and grey-scale images are compressed separately. We propose an efficient compression coding method for a pair of range and grey-scale images in which we use the correlation between range and grey-scale images, and compress them together. We also evaluate the coding method on a workstation and show numerical results.},
keywords={},
doi={},
ISSN={},
month={September},}

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TY - JOUR
TI - Compression Coding Using an Optical Model for a Pair of Range and Grey-Scale Images of 3D Objects
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1330
EP - 1337
AU - Kefei WANG
AU - Ryuji KOHNO
PY - 1996
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E79-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 1996
AB - When an image of a 3D object is transmitted or recorded, its range image as well its grey-scale image are required. In this paper, we propose a method of coding for efficient compression of a pair of a pair of range and grey-scale images of 3D objects. We use Lambertian reflection optical model to model the relationship between a 3D object shape and it's brightness. Good illuminant direction estimation leads to good grey-scale image generation and furthermore effects compression results. A method for estimating the illuminant derection and composite albedo from grey-scale image statistics is presented. We propose an approach for estimating the slant angle of illumination based on an optical model from a pair of range and grey-scale images. Estimation result shows that our approach is better. Using the estimated parameters of illuminant direction and composite albedo a synthetic grey-scale image is generated. For comparison, a comparison coding method is used, in which we assume that the range and grey-scale images are compressed separately. We propose an efficient compression coding method for a pair of range and grey-scale images in which we use the correlation between range and grey-scale images, and compress them together. We also evaluate the coding method on a workstation and show numerical results.
ER -