TY - GEN
T1 - A unified approach for motion analysis and view synthesis
AU - Rav-Acha, Alex
AU - Peleg, Shmuel
PY - 2004
Y1 - 2004
N2 - Image based rendering (IBR) consists of several steps: (i) Calibration (or ego-motion computation) of all input images, (ii) Determination of regions in the input images used to synthesize the new view. (iii) Interpolating the new view from the selected areas of the input images. We propose a unified representation for all these aspects of IBR using the Space-Time (x-y-t) volume. The presented approach is very robust, and allows to use IBR in general conditions even with a hand-held camera. To take care of (i), the Space-Time volume is constructed by placing frames at locations along the time axis so that image features create straight lines in the EPI (epipolar plane images). Different slices of the Space-Time volume are used to produce new views, taking care of (ii). Step (iii) is done by interpolating between image samples using the feature lines in the EPI images. IBR Examples are shown for various cases: sequences taken from a driving car, from a hand held camera, or when using a tripod.
AB - Image based rendering (IBR) consists of several steps: (i) Calibration (or ego-motion computation) of all input images, (ii) Determination of regions in the input images used to synthesize the new view. (iii) Interpolating the new view from the selected areas of the input images. We propose a unified representation for all these aspects of IBR using the Space-Time (x-y-t) volume. The presented approach is very robust, and allows to use IBR in general conditions even with a hand-held camera. To take care of (i), the Space-Time volume is constructed by placing frames at locations along the time axis so that image features create straight lines in the EPI (epipolar plane images). Different slices of the Space-Time volume are used to produce new views, taking care of (ii). Step (iii) is done by interpolating between image samples using the feature lines in the EPI images. IBR Examples are shown for various cases: sequences taken from a driving car, from a hand held camera, or when using a tripod.
UR - http://www.scopus.com/inward/record.url?scp=16244383550&partnerID=8YFLogxK
U2 - 10.1109/TDPVT.2004.1335386
DO - 10.1109/TDPVT.2004.1335386
M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???
AN - SCOPUS:16244383550
SN - 0769522238
SN - 9780769522234
T3 - Proceedings - 2nd International Symposium on 3D Data Processing, Visualization, and Transmission. 3DPVT 2004
SP - 717
EP - 724
BT - Proceedings - 2nd International Symposium on 3D Data Processing, Visualization, and Transmission, 3DPVT 2004
A2 - Aloimonos, Y.
A2 - Taubin, G.
T2 - Proceedings - 2nd International Symposium on 3D Data Processing, Visualization, and Transmission. 3DPVT 2004
Y2 - 6 September 2004 through 9 September 2004
ER -