Title :
Detecting binocular half-occlusions: empirical comparisons of five approaches
Author :
Egnal, Geoffrey ; Wildes, Richard P.
Author_Institution :
GRASP Lab., Pennsylvania Univ., Philadelphia, PA, USA
fDate :
8/1/2002 12:00:00 AM
Abstract :
Binocular half-occlusion points are those that are visible in one of the two views provided by a binocular imaging system. Due to their importance in binocular matching as well as, subsequent interpretation tasks, a number of approaches have been developed for dealing with such points. In the current paper, we consider five methods that explicitly detect half-occlusions and report on a more uniform comparison than has previously been performed. Taking a disparity image and its associated match goodness image as input, we generate images that show the half-occluded points in the underlying scene. We quantitatively and qualitatively compare these methods under a variety of conditions.
Keywords :
stereo image processing; 3D vision; binocular half-occlusion detection; disparity image; match goodness image; stereo matching; Computer vision; Geometry; Histograms; Humans; Image generation; Layout; Object segmentation; Optical imaging; Stereo vision; Visual system;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.2002.1023808