Visual Sensors
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Beschreibung
Visual sensors are able to capture a large quantity of information from the environment around them. A wide variety of visual systems can be found, from the classical monocular systems to omnidirectional, RGB-D, and more sophisticated 3D systems. Every configuration presents some specific characteristics that make them useful for solving different problems. Their range of applications is wide and varied, including robotics, industry, agriculture, quality control, visual inspection, surveillance, autonomous driving, and navigation aid systems. In this book, several problems that employ visual sensors are presented. Among them, we highlight visual SLAM, image retrieval, manipulation, calibration, object recognition, navigation, etc.
Autor*in
Luis Payá
Themen in »Visual Sensors«
3D reconstruction RGB-D sensor non-rigid reconstruction pedestrian detection boosted decision tree scale invariance receptive field correspondence soft decision tree single-shot 3D shape measurement digital image correlation warp function inverse compositional Gauss-Newton algorithm UAV image dynamic programming seam-line