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1. #Optimization ensemble not appearing matlab 2019a series#
2. #Optimization ensemble not appearing matlab 2019a free#

This book brings together high-quality and recent research advances on RGB-D based computer vision. Many systems have already demonstrated the possibility of making a better decision by learning useful information from a large set of RGB-D data. The success of this algorithm bootstraps the investigation of applying intelligent machine learning techniques to this new type of sensor representation. For instance, the human pose recognition algorithm associated with Kinect adapts a well-known learning technique into a real-world task, where body parts are inferred using a randomized decision forest, learned from over 1 million training examples. While it is beneficial to use RGB-D sensors in many vision applications such as object/scene recognition, human pose estimation, and gesture/activity recognition, machine learning plays an important role in bridging the gap between feature representations and decision making. Furthermore, the robustness gained with depth cameras allow us to take computer vision out of the lab and into real environments (e.g., people’s homes). The complementary nature of the synchronized depth and RGB information opens up new opportunities to solve fundamental problems in computer vision, including human pose estimation, activity recognition, object and people tracking, 3D mapping and localization, etc. With the invention of the low-cost depth sensors such as Kinect and Time-of-Flight (TOF) cameras, high-resolution depth and visual (RGB) sensing have become available for widespread use as an off-the-shelf technology. Printed on acid-free paper Springer is part of Springer Science+Business Media (Prefaceĭepth cameras have been exploited in computer vision for several years, but the high price and poor quality of such devices have limited their applicability. The publisher makes no warranty, express or implied, with respect to the material contained herein.

While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made.

#Optimization ensemble not appearing matlab 2019a free#

in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The use of general descriptive names, registered names, trademarks, service marks, etc.

Violations are liable to prosecution under the respective Copyright Law. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Library of Congress Control Number: 2014943409 Springer Cham Heidelberg New York Dordrecht London  Springer International Publishing Switzerland 2014 This work is subject to copyright. Pushmeet Kohli Microsoft Research Cambridge UK Zhengyou Zhang Microsoft Research Redmond, WA USA

#Optimization ensemble not appearing matlab 2019a series#

Series editor Sing Bing Kang Interactive Visual Media Group Microsoft Research Redmond, WA USA Jungong Han Civolution Technology Eindhoven The Netherlands