Pietro Zanuttigh

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Well, someone can decide by themselves what they want to do and need to do but sometimes, that kind of person will need some time of flight cameras and microsoft kinect references. People with open minded will always try to seek for the new things and information from many sources. On the contrary, people with closed mind will always think that they can do(More)
The recent introduction of novel acquisition devices like the Leap Motion and the Kinect allows to obtain a very informative description of the hand pose that can be exploited for accurate gesture recognition. This paper proposes a novel hand gesture recognition scheme explicitly targeted to Leap Motion data. An ad-hoc feature set based on the positions and(More)
Recent work on depth map compression has revealed the importance of incorporating a description of discontinuity boundary geometry into the compression scheme. We propose a novel compression strategy for depth maps that incorporates geometry information while achieving the goals of scalability and embedded representation. Our scheme involves two separate(More)
Scene segmentation is a well-known problem in computer vision traditionally tackled by exploiting only the color information from a single scene view. Recent hardware and software developments allow to estimate in real-time scene geometry and open the way for new scene segmentation approaches based on the fusion of both color and depth data. This paper(More)
Depth estimation for dynamic scenes is a challenging and relevant problem in computer vision. Although this problem can be tackled by means of ToF cameras or stereo vision systems, each of the two systems alone has its own limitations. In this paper a framework for the fusion of 3D data produced by a ToF camera and a stereo vision system is proposed.(More)
Current 3D video applications require the availability of high quality depth information. Depth information can be acquired real-time by stereo vision systems and ToF cameras. Both solutions present critical issues, that can be overcome by their combined use. In this paper, a heterogeneous acquisition system is considered, made of two high resolution(More)
Depth data acquired by current low-cost real-time depth cameras provide a very informative description of the hand pose, that can be effectively exploited for gesture recognition purposes. This paper introduces a novel hand gesture recognition scheme based on depth data. The hand is firstly extracted from the acquired depth maps with the aid also of color(More)
3D video representations usually associate to each view a depth map with the corresponding geometric information. Many compression schemes have been proposed for multiview video and for depth data, but the exploitation of the correlation between the two representations to enhance compression performances is still an open research issue. This paper presents(More)
Recent work highlights the importance of incorporating geometry information into the compression of depth maps. For many applications, features such as resolution scalability and embedded coding are also highly desirable. JPEG 2000 offers these scalability features but suffers from poor compression performance in the vicinity of strong discontinuities. We(More)