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 ...

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 present a new approach for coarse segmentation of tubular anatomical structures in 3D image data. Our approach can be used to initialise complex deformable models and is based on an extension of the randomized Hough transform (RHT), a robust method for low-dimensional parametric object detection. In combination with a discrete Kalman lter, the object is tracked through 3D spac...

We present a new approach for the coarse segmentation of tubular structures in 3D image data. Our algorithm, which requires only few initial values and minimal user interaction, can be used to initialise complex deformable models and is based on an extension of the randomized Hough transform (RHT), a robust method for low-dimensional parametric object detection. By means of a discrete Kalman fi...