Processor architecture for road extraction based on projective transformation

Sunggae Lee; Masanori Hariyama; Michitaka Kameyama

doi:10.1109/SICE.2006.315822

Processor architecture for road extraction based on projective transformation

Sunggae Lee, Masanori Hariyama, Michitaka Kameyama

INF - Computer and Mathematical Sciences

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

1 Citation (Scopus)

Abstract

This paper presents a processor architecture for a robust road-extraction algorithm using stereo images. The road-extraction method estimates a projective-transformation matrix H that represents the geometrical features of road regions. The road region can be robustly extracted using Sum of Absolute Differences (SAD) between one image and a transformed image of the other one. To accelerate the projective transformation, dedicated multipliers are employed. A dynamically reconfigurable architecture for robust estimation and SAD-based extraction is presented. For image size 720 × 480, the execution time on the proposed processor is 0.05 seconds whereas that on a microprocessor is 2.5 seconds.

Original language	English
Title of host publication	2006 SICE-ICASE International Joint Conference
Pages	1446-1450
Number of pages	5
DOIs	https://doi.org/10.1109/SICE.2006.315822
Publication status	Published - 2006 Dec 1
Event	2006 SICE-ICASE International Joint Conference - Busan, Korea, Republic of Duration: 2006 Oct 18 → 2006 Oct 21

Publication series

Name	2006 SICE-ICASE International Joint Conference

Other

Other	2006 SICE-ICASE International Joint Conference
Country/Territory	Korea, Republic of
City	Busan
Period	06/10/18 → 06/10/21

Keywords

Dynamically reconfigurable processor
Homography
Projective transformation
SAD

ASJC Scopus subject areas

Computer Science Applications
Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/SICE.2006.315822

Cite this

@inproceedings{16f10ad8b7ac404f8d67254308547713,

title = "Processor architecture for road extraction based on projective transformation",

abstract = "This paper presents a processor architecture for a robust road-extraction algorithm using stereo images. The road-extraction method estimates a projective-transformation matrix H that represents the geometrical features of road regions. The road region can be robustly extracted using Sum of Absolute Differences (SAD) between one image and a transformed image of the other one. To accelerate the projective transformation, dedicated multipliers are employed. A dynamically reconfigurable architecture for robust estimation and SAD-based extraction is presented. For image size 720 × 480, the execution time on the proposed processor is 0.05 seconds whereas that on a microprocessor is 2.5 seconds.",

keywords = "Dynamically reconfigurable processor, Homography, Projective transformation, SAD",

author = "Sunggae Lee and Masanori Hariyama and Michitaka Kameyama",

year = "2006",

month = dec,

day = "1",

doi = "10.1109/SICE.2006.315822",

language = "English",

isbn = "8995003855",

series = "2006 SICE-ICASE International Joint Conference",

pages = "1446--1450",

booktitle = "2006 SICE-ICASE International Joint Conference",

note = "2006 SICE-ICASE International Joint Conference ; Conference date: 18-10-2006 Through 21-10-2006",

}

TY - GEN

T1 - Processor architecture for road extraction based on projective transformation

AU - Lee, Sunggae

AU - Hariyama, Masanori

AU - Kameyama, Michitaka

PY - 2006/12/1

Y1 - 2006/12/1

N2 - This paper presents a processor architecture for a robust road-extraction algorithm using stereo images. The road-extraction method estimates a projective-transformation matrix H that represents the geometrical features of road regions. The road region can be robustly extracted using Sum of Absolute Differences (SAD) between one image and a transformed image of the other one. To accelerate the projective transformation, dedicated multipliers are employed. A dynamically reconfigurable architecture for robust estimation and SAD-based extraction is presented. For image size 720 × 480, the execution time on the proposed processor is 0.05 seconds whereas that on a microprocessor is 2.5 seconds.

AB - This paper presents a processor architecture for a robust road-extraction algorithm using stereo images. The road-extraction method estimates a projective-transformation matrix H that represents the geometrical features of road regions. The road region can be robustly extracted using Sum of Absolute Differences (SAD) between one image and a transformed image of the other one. To accelerate the projective transformation, dedicated multipliers are employed. A dynamically reconfigurable architecture for robust estimation and SAD-based extraction is presented. For image size 720 × 480, the execution time on the proposed processor is 0.05 seconds whereas that on a microprocessor is 2.5 seconds.

KW - Dynamically reconfigurable processor

KW - Homography

KW - Projective transformation

KW - SAD

UR - http://www.scopus.com/inward/record.url?scp=34250760280&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34250760280&partnerID=8YFLogxK

U2 - 10.1109/SICE.2006.315822

DO - 10.1109/SICE.2006.315822

M3 - Conference contribution

AN - SCOPUS:34250760280

SN - 8995003855

SN - 9788995003855

T3 - 2006 SICE-ICASE International Joint Conference

SP - 1446

EP - 1450

BT - 2006 SICE-ICASE International Joint Conference

T2 - 2006 SICE-ICASE International Joint Conference

Y2 - 18 October 2006 through 21 October 2006

ER -

Processor architecture for road extraction based on projective transformation

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this