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Today, climate change is among the most hotly-debated topics. The Clean Development Mechanism (CDM), one of the three financial mechanisms under the Kyoto Protocol open to developing and developed countries, was devised to assist in mitigation of global warming. This book discusses what China should do to make full use of the CDM to promote sustainable development and to meet the challenge of climate change from a legal perspective. The findings lead to the conclusion that the CDM has limitations in promoting sustainable development in China, and thus should be regarded only as a complementary instrument in combating climate change. Legal strategies for improving the implementation of CDM projects under the legal framework in China are thus put forward, and some proposals for China to meet the challenge of climate change in the post-2012 era are made. This book offers new insights to academics and policymakers both in the public and private sector. It is intended for legal practitioners and researchers on carbon trading as well as policymakers interested in the role of developing countries in climate change law. In addition, it is of interest to stakeholders of CDM projects.

Economics --- Law --- Environmental law --- Meteorology. Climatology --- Environmental protection. Environmental technology --- economie --- recht --- milieuzorg --- duurzame ontwikkeling --- milieurecht --- milieupolitiek --- klimaatverandering --- China

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Complex analysis --- Mathematical statistics --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- patroonherkenning --- beeldverwerking --- factoranalyse --- complexe analyse (wiskunde) --- image processing --- grafische vormgeving --- KI (kunstmatige intelligentie) --- robots

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This book constitutes the refereed proceedings of the 36th German Conference on Pattern Recognition, GCPR 2014, held in Münster, Germany, in September 2014. The 58 revised full papers and 8 short papers were carefully reviewed and selected from 153 submissions. The papers are organized in topical sections on variational models for depth and flow, reconstruction, bio-informatics, deep learning and segmentation, feature computation, video interpretation, segmentation and labeling, image processing and analysis, human pose and people tracking, interpolation and inpainting.

Mathematical statistics --- Computer science --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- computervisie --- patroonherkenning --- beeldverwerking --- factoranalyse --- bio-informatica --- deep learning --- vormgeving --- computers --- grafische vormgeving --- mineralen (chemie) --- simulaties --- mijnbouw --- KI (kunstmatige intelligentie) --- computerkunde --- robots --- optica

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This book constitutes the refereed proceedings of the  International Workshop on Depth Image Analysis, held in conjunction with ICPR 2012 in Japan in November 2012. The 16 revised full papers presented at the workshop were carefully reviewed and selected from 27 submissions and are complemented with 3 invited papers that were also peer-reviewed. The papers are organized in topical sections on acquisition and modeling of depth data, processing and analysis of depth data, applications, and ICPR contest.

Mathematical statistics --- Computer science --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- computervisie --- patroonherkenning --- beeldverwerking --- beeldanalyse --- factoranalyse --- computers --- grafische vormgeving --- informatica --- KI (kunstmatige intelligentie) --- computerkunde --- robots --- optica

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Respiratory and cardiac motion leads to image degradation in Positron Emission Tomography (PET), which impairs quantification. In this book, the authors present approaches to motion estimation and motion correction in thoracic PET. The approaches for motion estimation are based on dual gating and mass-preserving image registration (VAMPIRE) and mass-preserving optical flow (MPOF). With mass-preservation, image intensity modulations caused by highly non-rigid cardiac motion are accounted for. Within the image registration framework different data terms, different variants of regularization and parametric and non-parametric motion models are examined. Within the optical flow framework, different data terms and further non-quadratic penalization are also discussed. The approaches for motion correction particularly focus on pipelines in dual gated PET. A quantitative evaluation of the proposed approaches is performed on software phantom data with accompanied ground-truth motion information. Further, clinical applicability is shown on patient data. The book concludes with an outlook of recent developments and potential future advances in the field of PET motion correction.

Physical methods for diagnosis --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- DIP (documentimage processing) --- beeldverwerking --- spraaktechnologie --- grafische vormgeving --- radiologie --- medische beeldvorming --- signaalverwerking