We consider how tracking in stereo may be enhanced by coupling pairs of active contours in different views via affine epipolar geometry and various subsets of planar affine transformations, as well as by implementing temporal constraints imposed by curve ...

A new method is proposed for joint tracking of cell morphology and motion from 3D temporal cellular images. We adopt the framework of region-based active contours for segmentation, which is able to cope with objects having blurred boundaries. Motion ...

We propose a new measure of perceptual saliency and quantitatively compare its ability to detect natural shapes in cluttered backgrounds to five previously proposed measures. As defined in the new measure, the saliency of an edge is the fraction of ...

A new force field for geodesic active contours, called inertia, is proposed in this paper. Based on analyzing the evolution process of geodesic active contours and constructing extension velocities in level set methods, it is found that geodesic active ...

Motion capture is one of the most challenging problems in computer vision. In this paper, we propose a new algorithm for markerless human body motion capture. We compute volume data (voxels) representation from the images using the method of SFS (shape ...

We present a new method for preprocessing and organizing discrete scalar volume data of any dimension on external storage. We describe our implementation of a visual navigation system using our method. The techniques have important applications for out-of-core ...

The problem of decomposing an extended boundary or contour into simple primitives is addressed with particular emphasis on Laplacian-of-Gaussian zero-crossing contours. A technique is introduced for partitioning such contours into constant curvature ...

A novel approach to visual servoing is presented, which takes advantage of the structure of the Lie algebra of affine transformations. The aim of this project is to use feedback from a visual sensor to guide a robot arm to a target position. The target ...

The present paper describes an original technique developed for detecting and matching unknown planar structures between a pair of uncalibrated images. Problems related to bad segmentation or to occlusion are automatically solved in most cases. The match ...

The mainstream approach to estimate epipolar geometry from two views requires matching the projections of at least four non-coplanar points in the scene, assuming a full projective camera model. Our work deviates from this in three respects: affine camera, ...

An observation method for mathematical graphology is proposed. The motivation of mathematical graphology is to realize graphological information processing on a machine. Furthermore, mathematical graphology aims to construct a new information theory ...

Thyroid nodules are solid or cystic lumps formed in the thyroid gland and may be caused by a variety of thyroid disorders. This paper presents a novel active contour model for precise delineation of thyroid nodules of various shapes according to their ...

In this article we discuss the 2D-3D pose estimation problem of 3D free-form contours. In our scenario we observe objects of any 3D shape in an image of a calibrated camera. Pose estimation means to estimate the relative position and orientation (containing ...

Snakes are widely used in the fields of computer vision and image processing. There are a number of shortcomings of the traditional snakes, including the capture range problem and the concave object extraction problem. Gradient vector flow snake enhances ...

In this paper, we define a new class of multivariate skew-normal distributions. Its properties are studied. In particular we derive its density, moment generating function, the first two moments and marginal and conditional distributions. We illustrate ...

We view the fundamental edge integration problem for object segmentation in a geometric variational framework. First we show that the classical zero-crossings of the image Laplacian edge detector as suggested by Marr and Hildreth, inherently provides ...

This paper considers the stability and errors associated with various combinations of hybrid simulation modes, sampling sequences, and compensating schemes.