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dc.contributor.authorYeh, Chen Tingen_US
dc.contributor.authorHo, Tien-Yuen_US
dc.contributor.authorHuang, Szu-Haoen_US
dc.contributor.authorLai, Shang-Hongen_US
dc.contributor.editorStam, Jos and Mitra, Niloy J. and Xu, Kunen_US
dc.date.accessioned2015-10-07T05:13:12Z
dc.date.available2015-10-07T05:13:12Z
dc.date.issued2015en_US
dc.identifier.isbn978-3-905674-96-5en_US
dc.identifier.urihttp://dx.doi.org/10.2312/pg.20151280en_US
dc.description.abstractStereo rectification based on epipolar geometry is an image transformation process which is used to align the rectified stereo images to be coplanar. For image pairs captured by low-cost stereo camera systems, image noises and optical distortions in images may lead to errors in depth estimation. In this paper, a novel algorithm is proposed to simultaneously solve the stereo rectification and distortion correction problems in an integrated optimization framework. The estimated disparity maps are then used to synthesize the depth of field (DoF), which is to increase the saliency of the foreground objects, with the proposed spatially-variant filtering method. Experimental results on various synthetic and real stereo images are shown to demonstrate that the proposed algorithm can effectively reduce the stereo rectification error by considering the optical distortion model. The DoF synthesis can also be improved by using more accurate disparity estimation results.en_US
dc.publisherThe Eurographics Associationen_US
dc.titleSimultaneous Stereo Rectification and Distortion Correction with Application to DoF Synthesisen_US
dc.description.seriesinformationPacific Graphics Short Papersen_US
dc.description.sectionheadersShort Papersen_US
dc.identifier.doi10.2312/pg.20151280en_US
dc.identifier.pages47-52en_US


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