A rectification hardware architecture for an adaptive multiple-baseline stereo vision system

Hyeon Sik Son; Kyeong Ryeol Bae; Seung Ho Ok; Yong Hwan Lee; Byungin Moon

doi:10.1007/978-3-642-27192-2_19

A rectification hardware architecture for an adaptive multiple-baseline stereo vision system

Hyeon Sik Son, Kyeong Ryeol Bae, Seung Ho Ok, Yong Hwan Lee, Byungin Moon

School of Electronics Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

10 Scopus citations

Abstract

In this paper, we propose a new rectification hardware architecture that is suitable for an adaptive multiple-baseline stereo vision system. The adaptive multiple-baseline stereo vision system can obtain precise distance information compared with the fixed-baseline stereo vision system. To reduce the computation overhead of the stereo matching, the rectification is an essential step in the stereo vision system. However, the conventional rectification hardware architectures are designed for the fixed-baseline stereo vision system. Also, previously proposed the lookup table (LUT) based rectification hardware architectures are not suitable for the adaptive multiple-baseline stereo vision system. This is because these require large memory resources as the number of baseline increases. The experimental results show that the proposed hardware architecture does not need memory resources and also only few additional hardware resources are required as the number of the baseline increases as compared with the LUT-based rectification hardware.

Original language	English
Title of host publication	Communication and Networking - International Conference, FGCN 2011, Held as Part of the Future Generation Information Technology Conference, FGIT 2011, in Conjunction with GDC 2011, Proceedings
Pages	147-155
Number of pages	9
Edition	PART 1
DOIs	https://doi.org/10.1007/978-3-642-27192-2_19
State	Published - 2011
Event	2011 International Conference on Future Generation Communication and Networking, FGCN 2011, Held as Part of the 3rd International Mega-Conference on Future-Generation Information Technology, FGIT 2011, in Conjunction with GDC 2011 - Jeju Island, Korea, Republic of Duration: 8 Dec 2011 → 10 Dec 2011

Publication series

Name	Communications in Computer and Information Science
Number	PART 1
Volume	265 CCIS
ISSN (Print)	1865-0929

Conference

Conference	2011 International Conference on Future Generation Communication and Networking, FGCN 2011, Held as Part of the 3rd International Mega-Conference on Future-Generation Information Technology, FGIT 2011, in Conjunction with GDC 2011
Country/Territory	Korea, Republic of
City	Jeju Island
Period	8/12/11 → 10/12/11

Keywords

Adaptive multiple-baseline
Pipelined hardware architecture
Rectification
Stereo vision

Access to Document

10.1007/978-3-642-27192-2_19

Cite this

Son, H. S., Bae, K. R., Ok, S. H., Lee, Y. H., & Moon, B. (2011). A rectification hardware architecture for an adaptive multiple-baseline stereo vision system. In Communication and Networking - International Conference, FGCN 2011, Held as Part of the Future Generation Information Technology Conference, FGIT 2011, in Conjunction with GDC 2011, Proceedings (PART 1 ed., pp. 147-155). (Communications in Computer and Information Science; Vol. 265 CCIS, No. PART 1). https://doi.org/10.1007/978-3-642-27192-2_19

Son, Hyeon Sik ; Bae, Kyeong Ryeol ; Ok, Seung Ho et al. / A rectification hardware architecture for an adaptive multiple-baseline stereo vision system. Communication and Networking - International Conference, FGCN 2011, Held as Part of the Future Generation Information Technology Conference, FGIT 2011, in Conjunction with GDC 2011, Proceedings. PART 1. ed. 2011. pp. 147-155 (Communications in Computer and Information Science; PART 1).

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abstract = "In this paper, we propose a new rectification hardware architecture that is suitable for an adaptive multiple-baseline stereo vision system. The adaptive multiple-baseline stereo vision system can obtain precise distance information compared with the fixed-baseline stereo vision system. To reduce the computation overhead of the stereo matching, the rectification is an essential step in the stereo vision system. However, the conventional rectification hardware architectures are designed for the fixed-baseline stereo vision system. Also, previously proposed the lookup table (LUT) based rectification hardware architectures are not suitable for the adaptive multiple-baseline stereo vision system. This is because these require large memory resources as the number of baseline increases. The experimental results show that the proposed hardware architecture does not need memory resources and also only few additional hardware resources are required as the number of the baseline increases as compared with the LUT-based rectification hardware.",

keywords = "Adaptive multiple-baseline, Pipelined hardware architecture, Rectification, Stereo vision",

author = "Son, {Hyeon Sik} and Bae, {Kyeong Ryeol} and Ok, {Seung Ho} and Lee, {Yong Hwan} and Byungin Moon",

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note = "2011 International Conference on Future Generation Communication and Networking, FGCN 2011, Held as Part of the 3rd International Mega-Conference on Future-Generation Information Technology, FGIT 2011, in Conjunction with GDC 2011 ; Conference date: 08-12-2011 Through 10-12-2011",

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Son, HS, Bae, KR, Ok, SH, Lee, YH & Moon, B 2011, A rectification hardware architecture for an adaptive multiple-baseline stereo vision system. in Communication and Networking - International Conference, FGCN 2011, Held as Part of the Future Generation Information Technology Conference, FGIT 2011, in Conjunction with GDC 2011, Proceedings. PART 1 edn, Communications in Computer and Information Science, no. PART 1, vol. 265 CCIS, pp. 147-155, 2011 International Conference on Future Generation Communication and Networking, FGCN 2011, Held as Part of the 3rd International Mega-Conference on Future-Generation Information Technology, FGIT 2011, in Conjunction with GDC 2011, Jeju Island, Korea, Republic of, 8/12/11. https://doi.org/10.1007/978-3-642-27192-2_19

A rectification hardware architecture for an adaptive multiple-baseline stereo vision system. / Son, Hyeon Sik; Bae, Kyeong Ryeol; Ok, Seung Ho et al.
Communication and Networking - International Conference, FGCN 2011, Held as Part of the Future Generation Information Technology Conference, FGIT 2011, in Conjunction with GDC 2011, Proceedings. PART 1. ed. 2011. p. 147-155 (Communications in Computer and Information Science; Vol. 265 CCIS, No. PART 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Moon, Byungin

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N2 - In this paper, we propose a new rectification hardware architecture that is suitable for an adaptive multiple-baseline stereo vision system. The adaptive multiple-baseline stereo vision system can obtain precise distance information compared with the fixed-baseline stereo vision system. To reduce the computation overhead of the stereo matching, the rectification is an essential step in the stereo vision system. However, the conventional rectification hardware architectures are designed for the fixed-baseline stereo vision system. Also, previously proposed the lookup table (LUT) based rectification hardware architectures are not suitable for the adaptive multiple-baseline stereo vision system. This is because these require large memory resources as the number of baseline increases. The experimental results show that the proposed hardware architecture does not need memory resources and also only few additional hardware resources are required as the number of the baseline increases as compared with the LUT-based rectification hardware.

AB - In this paper, we propose a new rectification hardware architecture that is suitable for an adaptive multiple-baseline stereo vision system. The adaptive multiple-baseline stereo vision system can obtain precise distance information compared with the fixed-baseline stereo vision system. To reduce the computation overhead of the stereo matching, the rectification is an essential step in the stereo vision system. However, the conventional rectification hardware architectures are designed for the fixed-baseline stereo vision system. Also, previously proposed the lookup table (LUT) based rectification hardware architectures are not suitable for the adaptive multiple-baseline stereo vision system. This is because these require large memory resources as the number of baseline increases. The experimental results show that the proposed hardware architecture does not need memory resources and also only few additional hardware resources are required as the number of the baseline increases as compared with the LUT-based rectification hardware.

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Son HS, Bae KR, Ok SH, Lee YH, Moon B. A rectification hardware architecture for an adaptive multiple-baseline stereo vision system. In Communication and Networking - International Conference, FGCN 2011, Held as Part of the Future Generation Information Technology Conference, FGIT 2011, in Conjunction with GDC 2011, Proceedings. PART 1 ed. 2011. p. 147-155. (Communications in Computer and Information Science; PART 1). doi: 10.1007/978-3-642-27192-2_19

A rectification hardware architecture for an adaptive multiple-baseline stereo vision system

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