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Analysis of Multiview Omnidirectional Images in a Spherical Framework

Related publications (209)

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Improved linear dependence and vector model for illumination-invariant change detection

Touradj Ebrahimi, Emrullah Durucan

Change detection generally is the difference between images. The differences or changes could be due to moving objects or a variation of illumination. In general the goal is to extract only changes due to moving object that occur int eh scene, and to ignor ...

2001

A Unifying Approach and Interface for Spline-Based Snakes

Michaël Unser, Thierry Blu, Mathews Jacob

In this paper, we present different solutions for improving spline-based snakes. First, we demonstrate their minimum curvature interpolation property, and use it as an argument to get rid of the explicit smoothness constraint. We also propose a new externa ...

SPIE2001

Identification of the optic disk boundary in retinal images using active contours

Jean-Philippe Thiran, François Mendels

This paper describes a technique for identifying the boundary of the optic disk in digital images of the retina, using an approach based on active contours (snakes). The optic disk is the region on the retina at which optic nerve axons enter and leave the ...

IEEE1999

Extraction of the optic disk boundary in digital fundus images

Jean-Philippe Thiran, François Mendels

The methods of active contours (snakes) and level sets were applied to images of the retina in order to locate the outer boundary of the optic disk. A gradient-vector-flow based active contour was used as it performed well over a large range of initial con ...

IEEE1999

Centered Pyramids

Michaël Unser

Quadtree-like pyramids have the advantage of resulting in a multiresolution representation where each pyramid node has four unambiguous parents. Such a centered topology guarantees a clearly defined up-projection of labels. This concept has been successful ...

IEEE1999

Finding Lines Under Bounded Error

A new algorithm for finding straight lines in images under a bounded error model is described. The algorithm is based on a hierarchical and adaptive subdivision of the space of line parameters. It measures errors in image space and thereby guarantees that ...

1996

Object-Centered Surface Reconstruction: Combining Multi-Image Stereo and Shading

Pascal Fua

Our goal is to reconstruct both the shape and reflectance properties of surfaces from multiple images. To this end, we introduce an object-centered representation, specifically, a hexagonally-connected 3-D mesh of vertices with triangular facets. Such a re ...

Springer Verlag1995

Finding Lines under Bounded Error

IDIAP1993

LF-Net: Learning Local Features from Images

Pascal Fua, Kwang Moo Yi, Eduard Trulls Fortuny, Yuki Ono

We present a novel deep architecture and a training strategy to learn a local feature pipeline from scratch, using collections of images without the need for human supervision. To do so we exploit depth and relative camera pose cues to create a virtual tar ...

NEURAL INFORMATION PROCESSING SYSTEMS (NIPS)0