A new area-based convexity measure for polygons is described. It has the desirable properties that it is not sensitive to small boundary defects, and it is symmetric with respect ...
In this paper, we develop a new method for recovering and smoothing fields of surface normals in shape-fromshading. We show how transform the problem of recovering surface normals...
In recent work, several supervised spectral embedding procedures have been proposed. Although experimentally validated, the construction of these algorithms was rather ad hoc. Thi...
In this paper, we focus on the Image Registration problem. Mathematically, this problem consists of minimizing an energy which is composed of a regularization term and a similarit...
This paper presents a new three-dimensional shape descriptor, called 3D angular radial transform. This descriptor is an extension of the 2D region base shape descriptor proposed b...
In this paper the segmentation of a meeting into meeting events is investigated as well as the recognition of the detected segments. First the classification of a meeting event is...
Detection of objects is in general a computationally demanding task. To simplify the problem it is of interest to utilize contextual information and perform a staggered recognitio...
By treating projectors as pin-hole cameras, we show it is possible to calibrate the projectors of a casually-aligned, multi-projector display wall using the principles of planar a...
This paper introduces a novel measure for object convexity using the recently introduced Multi-Scale Autoconvolution transform. The proposed measure is computationally efficient a...
This paper assesses the recently proposed affine invariant image transform called Multi-Scale Autoconvolution (MSA) in some practical object classification problems. A classificat...