Object oriented motion and deformation estimation using composite image segmentation
Object oriented motion and deformation estimation using composite image segmentation
- Author(s): A.N. Delopoulos and A.G. Constantinides
- DOI: 10.1049/ic:19950937
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- Author(s): A.N. Delopoulos and A.G. Constantinides Source: IEE Colloquium on `Low Bit Image Coding', 1995 page ()
- Conference: IEE Colloquium on `Low Bit Image Coding'
A novel object oriented motion estimation algorithm is presented. The algorithm provides the means for highly efficient moving image encoding by fully exploiting the temporal redundancy among the objects of successive frames. Two-dimensional segmentation is performed on a composite image synthesised from two consecutive frames. The object correspondence problem is removed implicitly by virtue of the fact that the generated composite segments correspond to successive versions of the same objects. Thus the scheme not only solves the problem of the correspondence between successive versions of the same object, but it also guarantees well matched segments in the presence of noise and varying illumination. Moreover, it preserves motion or deformation information. Progressive motion estimation is achieved within the segmentation process which adapts to the assumed translational or affine model. Motion compensated extrapolation is performed on uncovered background and overlapping regions of the predicted frame. Simulation results prove the efficiency of the predictive scheme even in the case that only motion and deformation parameters need to be transmitted. (6 pages)
Inspec keywords: image matching; object-oriented methods; extrapolation; motion estimation; image segmentation
Subjects: Interpolation and function approximation (numerical analysis); Information theory; Pattern recognition; Optical information, image and video signal processing; Interpolation and function approximation (numerical analysis); Computer vision and image processing techniques
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