An integrated method for road centerline extraction has been proposed in this paper which consists of four main steps. First, the Graph Cut algorithm using proposed similarity function is employed to segment the image, and the segmented image is thresholded to initial binary skeleton. Second, the road skeleton is refined by using a series of morphology operations and shape features. Third, the ...

In this work we develop two algorithms to compute the skeleton of a binary 2D image. Both algorithms follow a geometric approach and work directly with the boundary of the image which is an orthogonal polygon (OP). One of these algorithms processes the edges of the polygon while the other one uses its vertices. Compared with a thinning method, the presented algorithms show a good performance. T...

In this paper, we present a new method for detecting curvilinear structures in a gray-scale image. The concept of skeleton extraction is introduced to detect more general structures such as tapering structures. A skeleton is extracted from the Euclidean distance map that is constructed based on the edge map of an input image. Then, skeletal points are classified into three types (RIDGE, RAVINE ...

The human organs geometric modeling software which can achieve two-dimensional medical image browsing, pretreatment and three dimensional (3D) reconstruction in this paper is designed. This software implements medical image segmentation using the method combining the region growing and the interactive segmentation. Also, the MC surface reconstruction algorithm is utilized to achieve the three-d...

This papor dcsc.ribcs a new hair repre.sentation techiiiqiui for drawing 3D CG characters. In our approach liair models are representcid by skeleton-based implicit surfaces. Implicit inodoliiig allow.s ropresiuitlng union and division of wisp.s of hair by n.sing a blobby model. Our method gets hair skele tons as input data. The skeleton is interpolated using a spline function and then implicit ...

We present an approach to detecting and recognizing gestures in a stream of multi-modal data. Our approach combines a slidingwindow gesture detector with features drawn from skeleton data, color imagery, and depth data produced by a first-generation Kinect sensor. The detector consists of a set of one-versus-all boosted classifiers, each tuned to a specific gesture. Features are extracted at mu...

This paper addresses the reconstruction of 3D human body models from 2D video sequences. Considering that the input frames are already segmented, the proposed technique consists of three stages. These stages are independently applied over each segmented frame. Firstly, a skeleton of a human figure obtained from the segmented image is extracted by means of a fast algorithm based on a Voronoi dia...

Originally, mathematical morphology was a theory of signal transformations which are invariant under Euclidean translations. An interest in the extension of mathematical morphology to spatially-variant (SV) operators has emerged due to the requirements imposed by numerous applications in adaptive signal (image) processing. This paper presents a general theory of spatially-variant mathematical m...

In this paper, a lying person's motion tracking system by using a pressure distribution image and a full body model is proposed. The full body model consists of a skeleton and a surface model to cope with a variety of body shapes. BVH les are used as the skeleton model that describes a hierarchy of joints and links. Wavefront Object les are used as the surface model that describes geometry of t...

In recent years, many approaches have been exploited for automatic road extraction. Most of these approaches are based on edge detection algorithms. In this paper, a new object-based approach for automatic extraction of main roads in large scale imagemaps is proposed. The gray-scale imagemap is converted to a simplified imagemap using Gray scale Morphological Algorithms (GMA). At this point, th...