Titlebook: Consumer Depth Cameras for Computer Vision; Research Topics and Andrea Fossati,Juergen Gall,Kurt Konolige Book 2013 Springer-Verlag London

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Book 2013apture, 3D human body scans, and hand pose recognition for sign language parsing; provides a review of approaches to various recognition problems, including category and instance learning of objects, and human activity recognition; with a Foreword by Dr. Jamie Shotton.

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Jill Fain Lehman,Jaime G. Carbonellarison of Kinect accuracy with stereo reconstruction from SLR cameras and a 3D-TOF camera. We propose a Kinect geometrical model and its calibration procedure providing an accurate calibration of Kinect 3D measurement and Kinect cameras. We compare our Kinect calibration procedure with its alternati

痛打

Jill Fain Lehman,Jaime G. Carbonellclosest point (ICP) algorithm on the graphics processing unit (GPU). Compared to state-of-the-art approaches that achieve real-time performance using projective data association schemes which operate on the 3-D scene geometry solely, our method allows to incorporate additional complementary informat

词汇表

KNOME: Modeling What the User Knows in UCs Localization And Mapping or object recognition. With the introduction of the Kinect in 2010, Microsoft released a low cost depth camera that is now intensively used by researchers, especially in the field of indoor robotics. This chapter introduces a new 3D registration algorithm that can deal wit

artless

Jill Fain Lehman,Jaime G. Carbonell that have been the dominant modes of interaction over the last few decades. An important milestone in the progress of natural user interfaces was the recent launch of Kinect with its unique ability to reliably estimate the pose of the human user in real time. Human pose estimation has been the subj

MODE

慷慨援助

Oxygen Transport Following Major Trauma availability of 3D body models. Although there has been a great deal of interest recently in the use of active depth sensing cameras, such as the Microsoft Kinect, for human pose tracking, little has been said about the related problem of human shape estimation. We present a method for human shape

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Jean Louis Vincent (Assistant-Director)e for sign language recognition, since it would make classification of hand shapes and gestures possible. The recent introduction of the Kinect depth sensor has accelerated research in human body pose capture. This chapter describes a real-time hand pose estimation method employing an object recogni

pessimism

Studies in Contemporary Economicstection dataset to the forefront. Such a dataset can be used for object recognition in a spirit usually reserved for the large collections of intensity images typically collected from the Internet. Here, we will review current 3D datasets and find them lacking in variation of scene, category, instan

乐章

https://doi.org/10.1007/978-3-642-83455-4d instance detection. Today we are witnessing the birth of a new generation of sensing technologies capable of providing high quality synchronized videos of both color and depth, the RGB-D (Kinect-style) camera. With its advanced sensing capabilities and the potential for mass adoption, this technol