The detection and tracking of a hand is an emerging research issue now-a-days to control the devices by hand motion. Conventional hand detection methods use color and shape information from a RGB camera. With the recent advent of the depth camera, some researchers show that they can improve the performance of hand detection by combining the color (or intensity) information with the information ...

This paper describes an extension of Generalized Hough Transform (GHT) to 3D point cloud for biometric applications. We focus on the possibility to applying this new GHT on a dataset representing point clouds of 3DFaces in order to obtain a nose-tip detection system.

OBJECTIVES We propose an automatic breast mass detection algorithm in three-dimensional (3D) ultrasound (US) images using the Hough transform technique. METHODS One hundred twenty-five cropped images containing 68 benign and 60 malignant masses are acquired with clinical diagnosis by an experienced radiologist. The 3D US images are masked, subsampled, contrast-adjusted, and median-filtered as...

The well-known arbitrary shape detection technology, generalized Hough transform (GHT) has the drawbacks of heavy computations (one-to-many or 1-to-n mapping) and storage requirements (voting space and entry number). Some n-to-1 mapping approaches have been proposed for improving the performance of GHT, such as the FGHT (fast generalized Hough transform), ADPHT (Adaptive dual-point Hough transf...

Shape-from-shading is a challenging problem in the field of computer vision. The goal is to detect the three dimensional shape of an object when given an image of that object. The relationship between the shading information and the orientation of the object’s surface, known as the reflectance function, is used to perform this computation. The Hough transform is a statistical, probabilistic alg...

In this paper we propose a novel method for human face segmentation using the elliptical structure of the human head. It makes use of the information present in the edge map of the image. In this approach we use the fact that the eigenvalues of covariance matrix represent the elliptical structure. The large and small eigenvalues of covariance matrix are associated with major and minor axial len...

The development of a method to analyze molecular tagging velocimetry data based on the Hough transform is presented. This method, based on line fitting, parameterizes the grid lines "written" into a flowfield. Initial proof-of-principle illustration of this method was performed to obtain two-component velocity measurements in the wake of a cylinder in a Mach 4.6 flow, using a data set derived f...

Licentiate Thesis ii Abstract Motion analysis is an important task in computer vision. In this work, a short overview of motion estimation techniques is presented and motion detection by a new Hough-like technique, the Randomized Hough Transform (RHT) is studied. The Standard Hough Transform and its applications to motion estimation are shortly introduced. The ideas of the RHT are presented and...