In this paper we present a novel and efficient depth-image representation and warping technique called DMesh which is based on a piece-wise linear approximation of the depth-image as a textured and simplified triangle mesh. We describe the application of a hierarchical multiresolution triangulation method to generate adaptively triangulated depth-meshes efficiently from reference depth-images, ...

Hand pose recognition has received increasing attention as an area of HCI. Recently with the spreading of many low cost 3D camera, researches for understanding more natural gestures have been studied. In this paper we present a method for hand part classification and joint estimation from a single depth image. We apply random decision forests(RDF) for hand part classification. Foreground pixels...

One of the major challenges for applications dealing with the 3D concept is the real-time execution of the algorithms. Besides this, for the indoor environments, perceiving the geometry of surrounding structures plays a prominent role in terms of application performance. Since indoor structures mainly consist of planar surfaces, fast and accurate detection of such features has a crucial impact ...

This paper presents a novel face authentication method integrating both 2D (color or intensity) and 3D range data, based on a low-cost system, capable of real-time acquisition of 3D and color images. Novel algorithms are proposed that exploit depth information to achieve robust face detection, localization and recognition under conditions of background clutter, occlusion, face pose alteration a...

In this paper, we present a new image based rendering technology called panoramic mosaics of slit images with depth. By limit camera motion only in a horizontal plane, a slit image with united depth value is used as the element of rendering. Compared with panorama, this method can support the movement of virtual camera. Multiple panoramic mosaics of slit images with depth can be joined up to pr...

In this paper we consider the problem of estimating a 3D motion field using multiple cameras. In particular, we focus on the situation where a depth camera and one or more color cameras are available, a common situation with recent composite sensors such as the Kinect. In this case, geometric information from depth maps can be combined with intensity variations in color images in order to estim...