Object distance estimation based on stereo vision and color segmentation with region matching

Guangming Xiong; Xin Li; Junqiang Xi; Spencer G. Fowers; Huiyan Chen

doi:10.1007/978-3-642-17277-9_38

Object distance estimation based on stereo vision and color segmentation with region matching

Guangming Xiong^*, Xin Li, Junqiang Xi, Spencer G. Fowers, Huiyan Chen

^*Corresponding author for this work

School of Mechanical Engineering

Brigham Young University

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

1 Citation (Scopus)

Abstract

Human vision system relies on stereovision to determine object distance in the 3-D world. Human vision system achieves this by first locating the objects, then matching the corresponding objects seen by the left and right eyes, and finally using triangulation to estimate the object distance. Inspired by the same concept, this paper presents a depth estimation method based on stereo vision and color segmentation with region matching in CIE Lab color space. Firstly, an automatic seeded region growing approach for color segmentation in perceptually uniform color space was proposed. Then color region matching method was implemented after color segmentation. Thereafter, 3D reprojection method was employed to calculate depth distances. Experimental results are included to validate the proposed concept for object distance estimation.

Original language	English
Title of host publication	Advances in Visual Computing - 6th International Symposium, ISVC 2010, Proceedings
Pages	368-376
Number of pages	9
Edition	PART 3
DOIs	https://doi.org/10.1007/978-3-642-17277-9_38
Publication status	Published - 2010
Event	6th International, Symposium on Visual Computing, ISVC 2010 - Las Vegas, NV, United States Duration: 29 Nov 2010 → 1 Dec 2010

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 3
Volume	6455 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	6th International, Symposium on Visual Computing, ISVC 2010
Country/Territory	United States
City	Las Vegas, NV
Period	29/11/10 → 1/12/10

Access to Document

10.1007/978-3-642-17277-9_38

Cite this

Xiong, G., Li, X., Xi, J., Fowers, S. G., & Chen, H. (2010). Object distance estimation based on stereo vision and color segmentation with region matching. In Advances in Visual Computing - 6th International Symposium, ISVC 2010, Proceedings (PART 3 ed., pp. 368-376). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6455 LNCS, No. PART 3). https://doi.org/10.1007/978-3-642-17277-9_38

Xiong, Guangming ; Li, Xin ; Xi, Junqiang et al. / Object distance estimation based on stereo vision and color segmentation with region matching. Advances in Visual Computing - 6th International Symposium, ISVC 2010, Proceedings. PART 3. ed. 2010. pp. 368-376 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3).

@inproceedings{40ce4420632a4804a49197ae4e228724,

title = "Object distance estimation based on stereo vision and color segmentation with region matching",

abstract = "Human vision system relies on stereovision to determine object distance in the 3-D world. Human vision system achieves this by first locating the objects, then matching the corresponding objects seen by the left and right eyes, and finally using triangulation to estimate the object distance. Inspired by the same concept, this paper presents a depth estimation method based on stereo vision and color segmentation with region matching in CIE Lab color space. Firstly, an automatic seeded region growing approach for color segmentation in perceptually uniform color space was proposed. Then color region matching method was implemented after color segmentation. Thereafter, 3D reprojection method was employed to calculate depth distances. Experimental results are included to validate the proposed concept for object distance estimation.",

author = "Guangming Xiong and Xin Li and Junqiang Xi and Fowers, {Spencer G.} and Huiyan Chen",

year = "2010",

doi = "10.1007/978-3-642-17277-9_38",

language = "English",

isbn = "3642172768",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

number = "PART 3",

pages = "368--376",

booktitle = "Advances in Visual Computing - 6th International Symposium, ISVC 2010, Proceedings",

edition = "PART 3",

note = "6th International, Symposium on Visual Computing, ISVC 2010 ; Conference date: 29-11-2010 Through 01-12-2010",

}

Xiong, G , Li, X , Xi, J, Fowers, SG & Chen, H 2010, Object distance estimation based on stereo vision and color segmentation with region matching. in Advances in Visual Computing - 6th International Symposium, ISVC 2010, Proceedings. PART 3 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 3, vol. 6455 LNCS, pp. 368-376, 6th International, Symposium on Visual Computing, ISVC 2010, Las Vegas, NV, United States, 29/11/10. https://doi.org/10.1007/978-3-642-17277-9_38

Object distance estimation based on stereo vision and color segmentation with region matching. / Xiong, Guangming ; Li, Xin ; Xi, Junqiang et al.
Advances in Visual Computing - 6th International Symposium, ISVC 2010, Proceedings. PART 3. ed. 2010. p. 368-376 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6455 LNCS, No. PART 3).

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

TY - GEN

T1 - Object distance estimation based on stereo vision and color segmentation with region matching

AU - Xiong, Guangming

AU - Li, Xin

AU - Xi, Junqiang

AU - Fowers, Spencer G.

AU - Chen, Huiyan

PY - 2010

Y1 - 2010

N2 - Human vision system relies on stereovision to determine object distance in the 3-D world. Human vision system achieves this by first locating the objects, then matching the corresponding objects seen by the left and right eyes, and finally using triangulation to estimate the object distance. Inspired by the same concept, this paper presents a depth estimation method based on stereo vision and color segmentation with region matching in CIE Lab color space. Firstly, an automatic seeded region growing approach for color segmentation in perceptually uniform color space was proposed. Then color region matching method was implemented after color segmentation. Thereafter, 3D reprojection method was employed to calculate depth distances. Experimental results are included to validate the proposed concept for object distance estimation.

AB - Human vision system relies on stereovision to determine object distance in the 3-D world. Human vision system achieves this by first locating the objects, then matching the corresponding objects seen by the left and right eyes, and finally using triangulation to estimate the object distance. Inspired by the same concept, this paper presents a depth estimation method based on stereo vision and color segmentation with region matching in CIE Lab color space. Firstly, an automatic seeded region growing approach for color segmentation in perceptually uniform color space was proposed. Then color region matching method was implemented after color segmentation. Thereafter, 3D reprojection method was employed to calculate depth distances. Experimental results are included to validate the proposed concept for object distance estimation.

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U2 - 10.1007/978-3-642-17277-9_38

DO - 10.1007/978-3-642-17277-9_38

M3 - Conference contribution

AN - SCOPUS:78650771600

SN - 3642172768

SN - 9783642172762

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Advances in Visual Computing - 6th International Symposium, ISVC 2010, Proceedings

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Xiong G , Li X , Xi J, Fowers SG, Chen H. Object distance estimation based on stereo vision and color segmentation with region matching. In Advances in Visual Computing - 6th International Symposium, ISVC 2010, Proceedings. PART 3 ed. 2010. p. 368-376. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3). doi: 10.1007/978-3-642-17277-9_38

Object distance estimation based on stereo vision and color segmentation with region matching

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