Title :
2-D mesh tracking for synthetic transfiguration
Author :
Toklu, Candemir ; Erdem, A. Tunju ; Sezan, M. Ibrahim ; Tekalp, A. Murut
Author_Institution :
Dept. of Electr. Eng., Rochester Univ., NY, USA
Abstract :
Synthetic object transfiguration is the problem of replacing an existing object in an image sequence with a new one via digital post-processing. Successful transfiguration requires accurate tracking of both motion and intensity variations of the existing object so that the new object can be rendered in exactly the same way. We propose a 2-D mesh tracking method that estimates, on a local basis, the motion and intensity variations of a region of interest. The proposed method is capable of accounting for illumination changes, tracking image regions corresponding to scene objects with non-planar and/or mildly deforming surfaces, and is shown to be effective in real-life situations
Keywords :
image segmentation; image sequences; motion estimation; tracking; 2D mesh tracking method; deforming surfaces; digital postprocessing; illumination changes; image regions tracking; image sequence; intensity variations tracking; motion variations tracking; region of interest; scene objects; synthetic object transfiguration; synthetic transfiguration; Filtering; Image sequences; Kalman filters; Layout; Lighting; Motion estimation; Rendering (computer graphics); Shape; Spline; Tracking;
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
DOI :
10.1109/ICIP.1995.537690