Robot Vision: Video-based Indoor Exploration with Autonomous and Mobile Robots
The book is intended for advanced students in physics, mathematics, computer science, electrical engineering, robotics, engine engineering and for specialists in computer vision and robotics on the techniques for the development of vision-based robot projects. It focusses on autonomous and mobile service robots for indoor work, and teaches the techniques for the development of vision-based robot projects. A basic knowledge of informatics is assumed, but the basic introduction helps to adjust the knowledge of the reader accordingly.
A practical treatment of the material enables a comprehensive understanding of how to handle specific problems, such as inhomogeneous illumination or occlusion. With this book, the reader should be able to develop object-oriented programs and show mathematical basic understanding. Such topics as image processing, navigation, camera types and camera calibration structure the described steps of developing further applications of vision-based robot projects.
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Videobased Indoor Exploration with Autonomous and Mobile Robots Stefan Florczyk
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algorithm angle applied approach areas Autonomous and Mobile axes B-rep belong binary image binormal CAD model calculated camera calibration color space computer vision computer-vision contour convolution coordinate system Xc desktop detected determined digits distance domain doorplate edge edge detection equations essential matrix example executed Exploration with Autonomous Figure formula function fundamental matrix Gabor filter gray values height highpass filter ICADO model illumination image data input interval match method a1 mobile robot Monte Carlo localization necessary neuron node octree parameterized parameters path planning pixels polygon position possible procedure recognition probability rectangle redundant program reference quantity region representation represents result Robot Vision room number rotation RV program scene point segmentation selected sensor shows snapshot step stereo vision strategy structuring element surface normal table legs three-dimensional reconstruction threshold operator tion transformation space two-dimensional vector Video-based Indoor Exploration visual cortex width wooden cube world coordinates