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Type: Conference paper
Title: Fast stereo with background removal using phase correlation
Author: Effendi, S.
Jarvis, R.
Suter, D.
Citation: Proceedings from the 23rd Image and Vision Computing New Zealand 2008: pp.1-6
Publisher: IEEE
Publisher Place: Online
Issue Date: 2008
ISBN: 9781424437801
Conference Name: Image and Vision Computing New Zealand (23rd : 2008 : Christchurch, NZ)
Statement of
S. Effendi, R. Jarvis and D. Suter
Abstract: Segmenting a scene into meaningful regions is a classical problem. One of the methods is segmentation from stereo (on condition that the object has sufficient texture). Most of the time, our interest is foreground objects. However, in dense stereo matching the entire image is processed, thereby wasting time. Hence, in order to process only the foreground objects, we insert a preliminary process to discard the background using dominant motion estimation. Our method estimates the background from stereo images using the phase correlation method. The dominant background area, which has high phase correlation, is then eliminated leaving the foreground to be processed by the traditional Sum of Squared Differences (SSD) algorithm. Thereby, the time taken for the overall process is reduced.
Keywords: Stereo
Dominant Motion
Phase Correlation
DOI: 10.1109/IVCNZ.2008.4762137
Published version:
Appears in Collections:Aurora harvest
Computer Science publications

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