Angebote zu "Imaging" (10 Treffer)

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Visual Scene Understanding from Mobile Platforms
79,90 € *
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: Dodax
Stand: 28.05.2020
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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: 28.05.2020
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Computer Vision for X-Ray Testing
66,28 € *
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This accessible textbook presents an introduction to computer vision algorithms for industrially-relevant applications of X-ray testing. Features: introduces the mathematical background for monocular and multiple view geometry, describes the main techniques for image processing used in X-ray testing, presents a range of different representations for X-ray images, explaining how these enable new features to be extracted from the original image, examines a range of known X-ray image classifiers and classification strategies, discusses some basic concepts for the simulation of X-ray images and presents simple geometric and imaging models that can be used in the simulation, reviews a variety of applications for X-ray testing, from industrial inspection and baggage screening to the quality control of natural products, provides supporting material at an associated website, including a database of X-ray images and a Matlab toolbox for use with the book's many examples.

Anbieter: Dodax
Stand: 28.05.2020
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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: 28.05.2020
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Visual Control of Wheeled Mobile Robots
185,00 CHF *
ggf. zzgl. Versand

Vision-based control of wheeled mobile robots is an interesting field of research from a scientific and even social point of view due to its potential applicability. This book presents a formal treatment of some aspects of control theory applied to the problem of vision-based pose regulation of wheeled mobile robots. In this problem, the robot has to reach a desired position and orientation, which are specified by a target image. It is faced in such a way that vision and control are unified to achieve stability of the closed loop, a large region of convergence, without local minima, and good robustness against parametric uncertainty. Three different control schemes that rely on monocular vision as unique sensor are presented and evaluated experimentally. A common benefit of these approaches is that they are valid for imaging systems obeying approximately a central projection model, e.g., conventional cameras, catadioptric systems and some fisheye cameras. Thus, the presented control schemes are generic approaches. A minimum set of visual measurements, integrated in adequate task functions, are taken from a geometric constraint imposed between corresponding image features. Particularly, the epipolar geometry and the trifocal tensor are exploited since they can be used for generic scenes. A detailed experimental evaluation is presented for each control scheme.

Anbieter: Orell Fuessli CH
Stand: 28.05.2020
Zum Angebot
Computer Vision for X-Ray Testing
72,90 CHF *
ggf. zzgl. Versand

This accessible textbook presents an introduction to computer vision algorithms for industrially-relevant applications of X-ray testing. Features: introduces the mathematical background for monocular and multiple view geometry; describes the main techniques for image processing used in X-ray testing; presents a range of different representations for X-ray images, explaining how these enable new features to be extracted from the original image; examines a range of known X-ray image classifiers and classification strategies; discusses some basic concepts for the simulation of X-ray images and presents simple geometric and imaging models that can be used in the simulation; reviews a variety of applications for X-ray testing, from industrial inspection and baggage screening to the quality control of natural products; provides supporting material at an associated website, including a database of X-ray images and a Matlab toolbox for use with the book's many examples.

Anbieter: Orell Fuessli CH
Stand: 28.05.2020
Zum Angebot
Visual Control of Wheeled Mobile Robots
134,99 € *
ggf. zzgl. Versand

Vision-based control of wheeled mobile robots is an interesting field of research from a scientific and even social point of view due to its potential applicability. This book presents a formal treatment of some aspects of control theory applied to the problem of vision-based pose regulation of wheeled mobile robots. In this problem, the robot has to reach a desired position and orientation, which are specified by a target image. It is faced in such a way that vision and control are unified to achieve stability of the closed loop, a large region of convergence, without local minima, and good robustness against parametric uncertainty. Three different control schemes that rely on monocular vision as unique sensor are presented and evaluated experimentally. A common benefit of these approaches is that they are valid for imaging systems obeying approximately a central projection model, e.g., conventional cameras, catadioptric systems and some fisheye cameras. Thus, the presented control schemes are generic approaches. A minimum set of visual measurements, integrated in adequate task functions, are taken from a geometric constraint imposed between corresponding image features. Particularly, the epipolar geometry and the trifocal tensor are exploited since they can be used for generic scenes. A detailed experimental evaluation is presented for each control scheme.

Anbieter: Thalia AT
Stand: 28.05.2020
Zum Angebot
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: 28.05.2020
Zum Angebot
Computer Vision for X-Ray Testing
66,00 € *
ggf. zzgl. Versand

This accessible textbook presents an introduction to computer vision algorithms for industrially-relevant applications of X-ray testing. Features: introduces the mathematical background for monocular and multiple view geometry; describes the main techniques for image processing used in X-ray testing; presents a range of different representations for X-ray images, explaining how these enable new features to be extracted from the original image; examines a range of known X-ray image classifiers and classification strategies; discusses some basic concepts for the simulation of X-ray images and presents simple geometric and imaging models that can be used in the simulation; reviews a variety of applications for X-ray testing, from industrial inspection and baggage screening to the quality control of natural products; provides supporting material at an associated website, including a database of X-ray images and a Matlab toolbox for use with the book's many examples.

Anbieter: Thalia AT
Stand: 28.05.2020
Zum Angebot