Disparity Estimation by Hierarchical Coherence Detection
Date Issued
2005
Date
2005
Author(s)
Lin, Chien-Tung
DOI
en-US
Abstract
Using machine stereovision for the guidance of mobile robot needs to extract the 3D information from images captured at different viewpoints. We choose a phase based approach to estimate the disparity values. It is fast and dense. But the disparity value only can be detected within a working range. Thus a hierarchical method is applied. An image pyramid is constructed in the hierarchical method and with the reduction of the resolution will let the disparity value smaller than original images. Thus the disparity value will within the working range of the filters in each pyramid level. But the length of the filters will cover more range in lower resolution and the missing data may be covered. Conventional approach is combined all the filters to estimate disparity value. This research develops a hierarchical coherence algorithm. It only combines the units which are coherent to estimate disparity. This approach is shown to be accurate.
Subjects
視差影像
吻合度偵測
影像三角型
disparity map
coherence detection
image pyramid
Type
thesis
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