LEADER 05173nam 2200637Ia 450 001 9910830177403321 005 20230617040618.0 010 $a1-280-52007-8 010 $a9786610520077 010 $a3-527-60440-5 010 $a3-527-60491-X 035 $a(CKB)1000000000376962 035 $a(EBL)481996 035 $a(OCoLC)68685064 035 $a(SSID)ssj0000239001 035 $a(PQKBManifestationID)11200423 035 $a(PQKBTitleCode)TC0000239001 035 $a(PQKBWorkID)10238990 035 $a(PQKB)10132436 035 $a(MiAaPQ)EBC481996 035 $a(EXLCZ)991000000000376962 100 $a20050217d2005 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aRobot vision$b[electronic resource] $evideo-based indoor exploration with autonomous and mobile robots /$fStefan Florczyk 210 $aWeinheim $cWiley-VCH$dc2005 215 $a1 online resource (218 p.) 300 $aDescription based upon print version of record. 311 $a3-527-40544-5 320 $aIncludes bibliographical references (p. 185-191) and index. 327 $aRobot Vision; Contents; List of Figures; Symbols and Abbreviations; 1 Introduction; 2 Image Processing; 2.1 Color Models; 2.2 Filtering; 2.2.1 Kalman Filter; 2.2.2 Gabor Filter; 2.2.3 Application of the Gabor Filter; 2.3 Morphological Image Processing; 2.3.1 The Structuring Element; 2.3.2 Erosion; 2.3.3 Dilation; 2.4 Edge Detection; 2.5 Skeleton Procedure; 2.6 The Segmentation of Image Regions; 2.7 Threshold; 3 Navigation; 3.1 Coordinate Systems; 3.2 Representation Forms; 3.2.1 Grid-based Maps; 3.2.2 Graph-based Maps; 3.3 Path Planning; 3.3.1 Topological Path Planning 327 $a3.3.2 Behavior-based Path Execution3.3.3 Global Path Planning; 3.3.4 Local Path Planning; 3.3.5 The Combination of Global and Local Path Planning; 3.4 The Architecture of a Multilevel Map Representation; 3.5 Self-localization; 4 Vision Systems; 4.1 The Human Visual Apparatus; 4.1.1 The Functionality; 4.1.2 The Visual Cortex; 4.2 The Human Visual Apparatus as Model for Technical Vision Systems; 4.2.1 Attention Control; 4.2.2 Passive Vision; 4.2.3 Active Vision; 4.2.4 Space-variant Active Vision; 4.3 Camera Types; 4.3.1 Video Cameras; 4.3.2 CCD Sensors; 4.3.3 Analog Metric Cameras; 5 CAD 327 $a5.1 Constructive Solid Geometry5.2 Boundary-representation Schema (B-rep); 5.3 Approximate Models; 5.3.1 Octrees; 5.3.2 Extended Octrees; 5.3.3 Voxel Model; 5.4 Hybrid Models; 5.5 Procedures to Convert the Models; 5.6 The Use of CAD in Computer Vision; 5.6.1 The Approximation of the Object Contour; 5.6.2 Cluster Search in Transformation Space with Adaptive Subdivision; 5.6.3 The Generation of a Pseudo-B-rep Representation from Sensor Data; 5.7 Three-dimensional Reconstruction with Alternative Approaches; 5.7.1 Partial Depth Reconstruction 327 $a5.7.2 Three-dimensional Reconstruction with Edge Gradients5.7.3 Semantic Reconstruction; 5.7.4 Mark-based Procedure; 6 Stereo Vision; 6.1 Stereo Geometry; 6.2 The Projection of the Scene Point; 6.3 The Relative Motion of the Camera; 6.4 The Estimation of the Fundamental Matrix B; 6.5 Image Rectification; 6.6 Ego-motion Estimation; 6.7 Three-dimensional Reconstruction by Known Internal Parameters; 6.8 Three-dimensional Reconstruction by Unknown Internal and External Parameters; 6.8.1 Three-dimensional Reconstruction with Two Uncalibrated Cameras 327 $a6.8.2 Three-dimensional Reconstruction with Three or More Cameras6.9 Stereo Correspondence; 6.9.1 Correlation-based Stereo Correspondence; 6.9.2 Feature-based Stereo Correspondence; 6.10 Image-sequence Analysis; 6.11 Three-dimensional Reconstruction from Image Sequences with the Kalman Filter; 7 Camera Calibration; 7.1 The Calibration of One Camera from a Known Scene; 7.1.1 Pinhole-camera Calibration; 7.1.2 The Determination of the Lens Distortion; 7.2 Calibration of Cameras in Robot-vision Systems; 7.2.1 Calibration with Moving Object; 7.2.2 Calibration with Moving Camera 327 $a8 Self-learning Algorithms 330 $aThe 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 comprehensi 606 $aRobot vision 606 $aAutonomous robots 606 $aMobile robots 615 0$aRobot vision. 615 0$aAutonomous robots. 615 0$aMobile robots. 676 $a629.892 676 $a629.892637 700 $aFlorczyk$b Stefan$01677525 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910830177403321 996 $aRobot vision$94044464 997 $aUNINA