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Ocular Dominance Column
45,00 € *
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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Ocular dominance columns are regions of neurons in the visual cortex that synapse with axons carrying transduced signals from either the left or right eye. The columns span multiple cortical layers, producing a striped pattern when the deeper levels are stained. Prior to birth, monocular transduction pathways are already established through a process known as Hebbian learning. Spontaneous retinal activity in one eye of the developing fetus leads to neuronal depolarization. Synapses that receive multiple inputs are more likely to propagate the signal, whereas errant connections will not be sufficient to trigger another action potential. Post-synaptic neurons that depolarize become permeable to calcium ions, if glutamate has been released by the pre-synaptic axon terminal. Calcium''s entry leads to a chemical process that strengthens the synapse, making it more likely to survive than other connections.

Anbieter: Dodax
Stand: 21.02.2020
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New Development in Robot Vision
106,00 CHF *
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The field of robotic vision has advanced dramatically recently with the development of new range sensors. Tremendous progress has been made resulting in significant impact on areas such as robotic navigation, scene/environment understanding, and visual learning. This edited book provides a solid and diversified reference source for some of the most recent important advancements in the field of robotic vision. The book starts with articles that describe new techniques to understand scenes from 2D/3D data such as estimation of planar structures, recognition of multiple objects in the scene using different kinds of features as well as their spatial and semantic relationships, generation of 3D object models, approach to recognize partially occluded objects, etc. Novel techniques are introduced to improve 3D perception accuracy with other sensors such as a gyroscope, positioning accuracy with a visual servoing based alignment strategy for microassembly, and increasing object recognition reliability using related manipulation motion models. For autonomous robot navigation, different vision-based localization and tracking strategies and algorithms are discussed. New approaches using probabilistic analysis for robot navigation, online learning of vision-based robot control, and 3D motion estimation via intensity differences from a monocular camera are described. This collection will be beneficial to graduate students, researchers, and professionals working in the area of robotic vision.  

Anbieter: Orell Fuessli CH
Stand: 21.02.2020
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Human Motion
125,90 CHF *
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The study of human motion dates back more than 2000 years. With the event of information technology, new areas have been added to this field. Research using computer vision and computer graphics contributes to a transformation of biomechanics into a discipline that now applies computing technology throughout; on the other hand, computer vision and computer graphics also benefit from defining goals aimed at solving problems in biomechanics. Besides interactions, all three areas also developed their own inherent research dynamics towards studying human motion. Researchers from all three of these areas have contributed to this book to promote the establishment of human motion research as a multi-facetted discipline and to improve the exchange of ideas and concepts between these three areas. Some chapters review the state of the art whilst others report on leading edge research results, with applications in medicine, sport science, cinematography and robotics. TOC:From the contents 1 Understanding Human Motion: A Historic Review, R. Klette, C. Tee.- Part I 2D tracking. 2 The Role of Manifold Learning in Human Motion Analysis, A. Elgammal, Chan-Su Lee. 3 Recognition of Action as a Bayesian Parameter Estimation Problem over Time, V. Kruger. 4 The William Harvey Code: Mathematical Analysis of Optical Flow Computation for Cardiac Motion, Y. Kameda, A. Imiya. 5 Detection and Tracking of Humans in Single View Sequences Using 2D Articulated Model, F. Kort, V. Hlavd!.- Part II Learning. 6 Combining Discrete and Continuous 3D Trackers, C. Tsechpenakis, D. Metaxas, C. Neidle. 7 Graphical Models for Human Motion Modeling, Kooksang Moon, V. Paviovic. 8 3D Human Motion Analysis in Monocular Video Techniques and Challenges, C. Sminchisescu. 9 Spatially and Temporally Segmenting Movement to Recognize Actions, R. Green. 10 Topologically Constrained Isometric Embedding, G. Rosman, A.M. Bronstein, M.M. Bronstein, R. Kimmel.- Part III 2D-3D tracking. 11 Contours, Optic Flow, and Prior Knowledge: Cues for Capturing 3D Human Motion in Videos, T. Brox, B. Rosenhahn, D. Cremers.

Anbieter: Orell Fuessli CH
Stand: 21.02.2020
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New Development in Robot Vision
87,99 € *
ggf. zzgl. Versand

The field of robotic vision has advanced dramatically recently with the development of new range sensors. Tremendous progress has been made resulting in significant impact on areas such as robotic navigation, scene/environment understanding, and visual learning. This edited book provides a solid and diversified reference source for some of the most recent important advancements in the field of robotic vision. The book starts with articles that describe new techniques to understand scenes from 2D/3D data such as estimation of planar structures, recognition of multiple objects in the scene using different kinds of features as well as their spatial and semantic relationships, generation of 3D object models, approach to recognize partially occluded objects, etc. Novel techniques are introduced to improve 3D perception accuracy with other sensors such as a gyroscope, positioning accuracy with a visual servoing based alignment strategy for microassembly, and increasing object recognition reliability using related manipulation motion models. For autonomous robot navigation, different vision-based localization and tracking strategies and algorithms are discussed. New approaches using probabilistic analysis for robot navigation, online learning of vision-based robot control, and 3D motion estimation via intensity differences from a monocular camera are described. This collection will be beneficial to graduate students, researchers, and professionals working in the area of robotic vision.  

Anbieter: Thalia AT
Stand: 21.02.2020
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Human Motion
99,00 € *
ggf. zzgl. Versand

The study of human motion dates back more than 2000 years. With the event of information technology, new areas have been added to this field. Research using computer vision and computer graphics contributes to a transformation of biomechanics into a discipline that now applies computing technology throughout; on the other hand, computer vision and computer graphics also benefit from defining goals aimed at solving problems in biomechanics. Besides interactions, all three areas also developed their own inherent research dynamics towards studying human motion. Researchers from all three of these areas have contributed to this book to promote the establishment of human motion research as a multi-facetted discipline and to improve the exchange of ideas and concepts between these three areas. Some chapters review the state of the art whilst others report on leading edge research results, with applications in medicine, sport science, cinematography and robotics. TOC:From the contents 1 Understanding Human Motion: A Historic Review, R. Klette, C. Tee.- Part I 2D tracking. 2 The Role of Manifold Learning in Human Motion Analysis, A. Elgammal, Chan-Su Lee. 3 Recognition of Action as a Bayesian Parameter Estimation Problem over Time, V. Kruger. 4 The William Harvey Code: Mathematical Analysis of Optical Flow Computation for Cardiac Motion, Y. Kameda, A. Imiya. 5 Detection and Tracking of Humans in Single View Sequences Using 2D Articulated Model, F. Kort, V. Hlavd!.- Part II Learning. 6 Combining Discrete and Continuous 3D Trackers, C. Tsechpenakis, D. Metaxas, C. Neidle. 7 Graphical Models for Human Motion Modeling, Kooksang Moon, V. Paviovic. 8 3D Human Motion Analysis in Monocular Video Techniques and Challenges, C. Sminchisescu. 9 Spatially and Temporally Segmenting Movement to Recognize Actions, R. Green. 10 Topologically Constrained Isometric Embedding, G. Rosman, A.M. Bronstein, M.M. Bronstein, R. Kimmel.- Part III 2D-3D tracking. 11 Contours, Optic Flow, and Prior Knowledge: Cues for Capturing 3D Human Motion in Videos, T. Brox, B. Rosenhahn, D. Cremers.

Anbieter: Thalia AT
Stand: 21.02.2020
Zum Angebot