Publications associées à OmniSIFT: Scale Invariant Features in Omnidirectional Images

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Laplacian Operator, Diffusion Flow and Active Contour on non-Euclidean Images

Jean-Philippe Thiran, Pierre Vandergheynst, Xavier Bresson, Iva Bogdanova Vandergheynst

We propose here some basic approaches to direct processing of the

360^o

-images as we take into consideration the geometry of each one. Obviously, the geometry of each of these images is a consequence of the geometry of the sensor's mirror used. This tech ...

2005

OmniSIFT: Scale Invariant Features in Omnidirectional Images

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Scene image classification and segmentation with quantized local descriptors and latent aspect modeling

Scene image classification and segmentation with quantized local descriptors and latent aspect modeling

Optimal control of geodesics in Riemannian manifolds

Scale-space analysis and active contours for omnidirectional images

Orientation histogram-based matching for Region Tracking

Integrating co-occurrence and spatial contexts on patch-based scene segmentation

Laplacian Operator, Diffusion Flow and Active Contour on non-Euclidean Images

Integrating co-occurrence and spatial contexts on patch-based scene segmentation

Coevolution of active vision and feature selection

Feature point extraction using scale-space representation

Optimal control of geodesics in Riemannian manifolds

Scene image classification and segmentation with quantized local descriptors and latent aspect modeling

Scene image classification and segmentation with quantized local descriptors and latent aspect modeling

Scale-space analysis and active contours for omnidirectional images

Orientation histogram-based matching for Region Tracking

Integrating co-occurrence and spatial contexts on patch-based scene segmentation

Laplacian Operator, Diffusion Flow and Active Contour on non-Euclidean Images

Integrating co-occurrence and spatial contexts on patch-based scene segmentation

Coevolution of active vision and feature selection

Feature point extraction using scale-space representation