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Visual Scene Understanding from Mobile Platforms
79,90 € *
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Visual scene understanding is one of the ultimate goals in computer vision and has been in the field's focus since its early beginning. Despite continuous effort over several years, applications such as autonomous driving and robotics are still subject to active research. In recent years, improved probabilistic methods became a popular tool for state-of-the-art computer vision algorithms. Additionally, high resolution digital imaging devices and increased computational power became available. By leveraging these methodical and technical advancements current methods obtain encouraging results in well defined environments for robust object class detection, tracking and pixel-wise semantic scene labeling and give rise to renewed hope for further progress in scene understanding for real environments. This book improves state-of-the-art scene understanding with monocular cameras and aims for applications on mobile platforms such as service robots or driver assistance for automotive safety. It develops and improves approaches for object class detection and semantic scene labeling and integrates those into models for global scene reasoning which exploit context at different levels.

Anbieter: Dodax
Stand: 26.09.2020
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Entwurf von Computational-Imaging-Systemen am B...
44,00 € *
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Computational-Imaging-Systeme kombinieren optische und digitale Signalverarbeitung um Information aus dem Licht einer Szene zu extrahieren. In dieser Arbeit wird das Raytracing-Verfahren als Simulationswerkzeug genutzt, um Computational-Imaging-Systeme ganzheitlich zu beschreiben, bewerten und optimieren. Am Beispiel der monokularen Tiefenschätzung wird die Simulation mit einem realen Prototyp einer Kamera mit programmierbarer Apertur verglichen und die vorgestellten Methoden evaluiert. Computational imaging systems combine optical and digital signal processing in order to extract information from the light of a scene. This work presents raytracing as a simulation tool to thoroughly describe, assess and optimize computational imaging systems. By means of the exemplary case of monocular depth estimation, the simulation is compared to a real prototype of a camera with programmable aperture and the presented methods are evaluated.

Anbieter: Dodax
Stand: 26.09.2020
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Visual Scene Understanding from Mobile Platforms
130,00 CHF *
ggf. zzgl. Versand

Visual scene understanding is one of the ultimate goals in computer vision and has been in the field's focus since its early beginning. Despite continuous effort over several years, applications such as autonomous driving and robotics are still subject to active research. In recent years, improved probabilistic methods became a popular tool for state-of-the-art computer vision algorithms. Additionally, high resolution digital imaging devices and increased computational power became available. By leveraging these methodical and technical advancements current methods obtain encouraging results in well defined environments for robust object class detection, tracking and pixel-wise semantic scene labeling and give rise to renewed hope for further progress in scene understanding for real environments. This book improves state-of-the-art scene understanding with monocular cameras and aims for applications on mobile platforms such as service robots or driver assistance for automotive safety. It develops and improves approaches for object class detection and semantic scene labeling and integrates those into models for global scene reasoning which exploit context at different levels.

Anbieter: Orell Fuessli CH
Stand: 26.09.2020
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Visual Scene Understanding from Mobile Platforms
69,99 € *
ggf. zzgl. Versand

Visual scene understanding is one of the ultimate goals in computer vision and has been in the field's focus since its early beginning. Despite continuous effort over several years, applications such as autonomous driving and robotics are still subject to active research. In recent years, improved probabilistic methods became a popular tool for state-of-the-art computer vision algorithms. Additionally, high resolution digital imaging devices and increased computational power became available. By leveraging these methodical and technical advancements current methods obtain encouraging results in well defined environments for robust object class detection, tracking and pixel-wise semantic scene labeling and give rise to renewed hope for further progress in scene understanding for real environments. This book improves state-of-the-art scene understanding with monocular cameras and aims for applications on mobile platforms such as service robots or driver assistance for automotive safety. It develops and improves approaches for object class detection and semantic scene labeling and integrates those into models for global scene reasoning which exploit context at different levels.

Anbieter: Thalia AT
Stand: 26.09.2020
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