2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA) 2015
DOI: 10.1109/dicta.2015.7371222
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A Study of the Region Covariance Descriptor: Impact of Feature Selection and Image Transformations

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Cited by 5 publications
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“…In a similar vein, [4] and [2] extend barycenter-based classification methods to the SPD Riemannian framework. On the other hand, [9] propose the usage of SPD matrices as a region descriptor in images, with applications in image segmentation. The work in [17] pushed the idea further by allowing the region covariance descriptor to be appended to a deep neural representation of an image, and by doing so introduced the first hints of automatic backpropagation in a Riemannian setting.…”
Section: Introductionmentioning
confidence: 99%
“…In a similar vein, [4] and [2] extend barycenter-based classification methods to the SPD Riemannian framework. On the other hand, [9] propose the usage of SPD matrices as a region descriptor in images, with applications in image segmentation. The work in [17] pushed the idea further by allowing the region covariance descriptor to be appended to a deep neural representation of an image, and by doing so introduced the first hints of automatic backpropagation in a Riemannian setting.…”
Section: Introductionmentioning
confidence: 99%