A quantitative comparison of 4 algorithms for recovering dense accurate depth

We report on four algorithms for recovering dense depth maps from long image sequences, where the camera motion is known a priori. All methods use a Kalman filter to integrate intensity derivatives or optical flow over time to increase accuracy.

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Bibliographic Details
Published inThe 2nd Canadian Conference on Computer and Robot Vision (CRV'05) pp. 498 - 505
Main Authors Baozhong Tian, Barron, J.L.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2005
Subjects
Computer vision
Robot vision systems
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Summary:We report on four algorithms for recovering dense depth maps from long image sequences, where the camera motion is known a priori. All methods use a Kalman filter to integrate intensity derivatives or optical flow over time to increase accuracy.
ISBN:9780769523194
0769523196
DOI:10.1109/CRV.2005.11