An Adaptive Cross-Window stereo camera Distance Estimation technology and its system implementation for multiple applications

Ricky Lee, Tai En Wu, Jiun-In  Guo

研究成果: Conference contribution同行評審

2 引文 斯高帕斯(Scopus)

摘要

This paper proposes an adaptive cross-window stereo camera distance estimation technology which is a low complexity disparity algorithm and high efficient parallelized, which includes Adaptive Cross Window Distance Estimation (ACWDE) and disparity-based erosion. The proposed algorithm reduces the computation time by changing the aggregation window shape, which calculates color and texture of 13 pixels to generate a pixel disparity. The computation time is speeded up 2.97 times compares to the original system. By integrating ACWDE with voting filter, median filter and proposed disparity-based erosion, which erodes noise only for nearer disparity level, good enough disparity map can be generated, which 10.38% average error rate in Middlebury dataset. This proposed system can generate quality disparity map according to dual VGA resolution videos at 11fps through down-scaling disparity estimation. The proposed ACWDE algorithm also facilities moving object detection and can be adopted in various applications by changing the baseline of stereo camera to set the distance estimation range.

原文English
主出版物標題2017 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2017
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781509039692
DOIs
出版狀態Published - 5 六月 2017
事件2017 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2017 - Hsinchu, Taiwan
持續時間: 24 四月 201727 四月 2017

出版系列

名字2017 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2017

Conference

Conference2017 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2017
國家Taiwan
城市Hsinchu
期間24/04/1727/04/17

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