An Adaptive Stereo Algorithm Based on Canonial Correlation Analysis
1998 (English)Conference paper (Refereed)
This paper presents a novel algorithm that uses CCA and phase analysis to detect the disparity in stereo images. The algorithm adapts filters in each local neighbourhood of the image in a way which maximizes the correlation between the filtered images. The adapted filters are then analysed to find the disparity. This is done by a simple phase analysis of the scalar product of the filters. The algorithm can even handle cases where the images have different scales. The algorithm can also handle depth discontinuities and give multiple depth estimates for semitransparent images.
Place, publisher, year, edition, pages
Medical Laboratory and Measurements Technologies
IdentifiersURN: urn:nbn:se:liu:diva-67265OAI: oai:DiVA.org:liu-67265DiVA: diva2:408935
ACIPS 1998, Gold Coast, Australia