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Titlebook: Geometric Reasoning for Perception and Action; Workshop. Grenoble, Christian Laugier Conference proceedings 1993 Springer-Verlag Berlin He

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書目名稱Geometric Reasoning for Perception and Action
副標(biāo)題Workshop. Grenoble,
編輯Christian Laugier
視頻videohttp://file.papertrans.cn/384/383601/383601.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Geometric Reasoning for Perception and Action; Workshop. Grenoble,  Christian Laugier Conference proceedings 1993 Springer-Verlag Berlin He
描述Geometry is a powerful tool to solve a great number ofproblems in robotics and computer vision. Impressive resultshave been obtained in these fieldsin the last decade. It isa new challenge to solve problems of the actual world whichrequire the ability to reason about uncertainty and complexmotion constraints by combining geometric, kinematic, anddynamic characteristics. A necessary step is to developappropriate geometric reasoning techniques with reasonablecomputationalcomplexity.This volume is based on a workshop held in Grenoble,France,in September 1991. It contains selectedcontributions on several importantareas in the field ofrobotics and computer vision. The four chapters cover thefollowing areas:- motion planning with kinematic and dynamic constraints,- motion planning and control in the presenceofuncertainty,- geometric problems related to visual perception,-numerical problems linked to the implementation ofpractical algorithms for visual perception.
出版日期Conference proceedings 1993
關(guān)鍵詞algorithms; complexity; computer vision; motion planning; robot; robotics; uncertainty; Engineering Economi
版次1
doihttps://doi.org/10.1007/3-540-57132-9
isbn_softcover978-3-540-57132-2
isbn_ebook978-3-540-47913-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 1993
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From splines and snakes to snake splines,ifferential equation, that controls the evolution of the surface toward its target. The simplification thus obtained allows for taking into account automatic modification of the topology of the object to segment, as is shown on the instance of a vertebra.
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https://doi.org/10.1007/978-3-030-85484-3 influence of these landmarks, while control is imperfect and sensing null outside these fields. We propose extensions of the planning algorithm that eliminate the need for several of these assumptions.
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Landmark-based robot motion planning, influence of these landmarks, while control is imperfect and sensing null outside these fields. We propose extensions of the planning algorithm that eliminate the need for several of these assumptions.
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0302-9743 e fieldsin the last decade. It isa new challenge to solve problems of the actual world whichrequire the ability to reason about uncertainty and complexmotion constraints by combining geometric, kinematic, anddynamic characteristics. A necessary step is to developappropriate geometric reasoning techn
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Secondary Reconstruction of the Ear, interaction. This model is based on the definition of the . of the robot and leads to avoidance-oriented control laws. The second part describes the implementation of this algorithm on a fast outdoor mobile robot called SNAKE.
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