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Sparse Representation Using SVR
2017 International Conference on Computing, Communication, Control and Automation (ICCUBEA), 2017This paper represents super resolution technique for higher level of scale. It describes categorization like if lower the resolution, the lesser details are captured and for higher resolution the image details are higher and with greater image quality. Image sensors (e.g.
Abhijit S. Shinde +2 more
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Sparse representation shape model
2010 IEEE International Conference on Image Processing, 2010This paper introduces a novel shape model, Sparse Representation Shape Model (SRSM). Rather than for modeling specific deformable shapes, this model is specially designed for shape segmentation and matching. This model is utilized under the framework of Active Shape Models (ASM).
Yuelong Li, Jufu Feng
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Sparse Representation Shape Models
Journal of Mathematical Imaging and Vision, 2012It is well-known that, during shape extraction, enrolling an appropriate shape constraint model could effectively improve locating accuracy. In this paper, a novel deformable shape model, Sparse Representation Shape Models (SRSM), is introduced. Rather than following commonly utilized statistical shape constraints, our model constrains shape appearance
Yuelong Li +3 more
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