A new colour 3D SFS scheme using neural networks and iterative recursive method

Tommy W.S. Chow; S. Y. Cho

doi:10.1109/IECON.2002.1185253

A new colour 3D SFS scheme using neural networks and iterative recursive method

Tommy W.S. Chow, S. Y. Cho

Research output: Contribution to conference › Paper › peer-review

Abstract

The problem of colour SFS refers to the well-known fact that most real objects usually contain mixtures of diffuse and specular colour reflections and are affected by the multi-coloured interreflection under unknown reflectivity. In this paper, a novel colour SFS scheme is proposed. The proposed approach focuses on two main parts. First, a generalized neural based colour reflectance model is described. Second, an iterative recursive method is developed to reconstruct a multi-colour 3D surface. Experimental results on synthetic coloured objects were performed and compared with other well-known conventional models. The obtained results demonstrate that the performance of the proposed methodology is very encouraging.

Original language	English
Pages	1854-1859
Number of pages	6
DOIs	https://doi.org/10.1109/IECON.2002.1185253
Publication status	Published - 2002
Externally published	Yes
Event	Proceedings of the 2002 28th Annual Conference of the IEEE Industrial Electronics Society - Sevilla, Spain Duration: 5 Nov 2002 → 8 Nov 2002

Conference

Conference	Proceedings of the 2002 28th Annual Conference of the IEEE Industrial Electronics Society
Country/Territory	Spain
City	Sevilla
Period	5/11/02 → 8/11/02

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

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10.1109/IECON.2002.1185253

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title = "A new colour 3D SFS scheme using neural networks and iterative recursive method",

abstract = "The problem of colour SFS refers to the well-known fact that most real objects usually contain mixtures of diffuse and specular colour reflections and are affected by the multi-coloured interreflection under unknown reflectivity. In this paper, a novel colour SFS scheme is proposed. The proposed approach focuses on two main parts. First, a generalized neural based colour reflectance model is described. Second, an iterative recursive method is developed to reconstruct a multi-colour 3D surface. Experimental results on synthetic coloured objects were performed and compared with other well-known conventional models. The obtained results demonstrate that the performance of the proposed methodology is very encouraging.",

author = "Chow, \{Tommy W.S.\} and Cho, \{S. Y.\}",

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doi = "10.1109/IECON.2002.1185253",

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AU - Cho, S. Y.

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AB - The problem of colour SFS refers to the well-known fact that most real objects usually contain mixtures of diffuse and specular colour reflections and are affected by the multi-coloured interreflection under unknown reflectivity. In this paper, a novel colour SFS scheme is proposed. The proposed approach focuses on two main parts. First, a generalized neural based colour reflectance model is described. Second, an iterative recursive method is developed to reconstruct a multi-colour 3D surface. Experimental results on synthetic coloured objects were performed and compared with other well-known conventional models. The obtained results demonstrate that the performance of the proposed methodology is very encouraging.

UR - https://www.scopus.com/pages/publications/0036954628

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DO - 10.1109/IECON.2002.1185253

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T2 - Proceedings of the 2002 28th Annual Conference of the IEEE Industrial Electronics Society

Y2 - 5 November 2002 through 8 November 2002

ER -

A new colour 3D SFS scheme using neural networks and iterative recursive method

Abstract

Conference

ASJC Scopus subject areas

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