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Shape Understanding System : The First Steps toward the Visual Thinking Machines

Presents the results of the research in one of the most complex and difficult areas of research, such as research in the areas of thinking and understanding. This research that is carried out in the newly founded Queen Jadwiga Research Institute of Understanding is focused on research on the problem of visual understanding and visual thinking. According to our knowledge, this book is the first attempt to investigate the complexity of the visual thinking problems in the context of building the thinking machine.

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Shape Analysis and Structuring

Several techniques have been developed in the literature for processing different aspects of the geometry of shapes, for representing and manipulating a shape at different levels of detail, and for describing a shape at a structural level as a concise, part-based, or iconic model. Such techniques are used in many different contexts, such as industrial design, biomedical applications, entertainment, environmental monitoring, or cultural heritage. This book covers a variety of topics related to preserving and enhancing shape information at a geometric level, and to effectively capturing the structure of a shape by identifying relevant shape components and their mutual relationships.

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Brain, vision, and artificial intelligence ; 1st International Symposium, BVAI 2005, Naples, Italy, October 19-21, 2005, Proceedings

This book constitutes the refereed proceedings of the First International Symposium on Brain, Vision and Artificial Intelligence, BVAI 2005, held in Naples, Italy in October 2005. The 48 revised papers presented together with 6 invited lectures were carefully reviewed and selected from more than 80 submissions for inclusion in the book. The papers are addressed to the following main topics and sub-topics: brain basics - neuroanatomy and physiology, development, plasticity and learning, synaptic, neuronic and neural network modelling; natural vision - visual neurosciences, mechanisms and model systems, visual perception, visual cognition; artificial vision - shape perception, shape analysis and recognition, shape understanding; artificial inteligence - hybrid intelligent systems, agents, and cognitive models.

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