TY - BOOK AU - Reinoso Garcia, Oscar||Payá, Luis TI - Visual Sensors KW - recognition algorithm||n/a||3D ConvNets||consistent line clustering||skeletal data||fused point and line feature matching||soft decision tree||texture retrieval||vision system||laser sensor||neural network||iris segmentation||correlation filters||embedded systems||underwater imaging||stereo vision||seam-line||image processing||quality control||dynamic programming||visual information fusion||semantic segmentation||parallel line||textile retrieval||structure extraction||line scan camera||orientation relevance||measurement error||rotation-angle||star image prediction||convolutional neural network (CNN)||tightly-coupled VIO||visual sensors||stereo||parking assist system||visual detection||omnidirectional imaging||RGB-D SLAM||narrow butt joint||appearance-temporal features||vision-guided robotic grasping||scale invariance||support vector machine (SVM)||straight wing aircraft||statistical information of gray-levels differences||Local Binary Patterns||robotics||mobile robots||textile localization||indoor environment||CLOSIB||geometric moments||perceptually uniform histogram||single-shot 3D shape measurement||salient region detection||person re-identification||calibration||stereo camera||simplified initialization strategy||LSTM||SLAM||image mosaic||convolutional neural network||lane marking detection||finger alphabet||robot manipulation||patrol robot||inverse compositional Gauss-Newton algorithm||checkerboard||action localization||hybrid histogram descriptor||pivotal frames||lane marking reconstruction||warp function||visual localization||RGB-D||automatic calibration||Siamese network||object recognition||human visual system||LRF||Gray code||visual tracking||motion-aware||visual odometry||adaptive update strategy||Manhattan frame estimation||vibration||confidence response map||lane marking||3D reconstruction||indoor visual SLAM||pose estimation||global feature descriptor||sweet pepper||texture classification||ego-motion estimation||pose estimates||planes intersection||adaptive model||support vector machines||motif co-occurrence histogram||handshape recognition||non-rigid reconstruction||camera calibration||map representation||optical flow||robotic welding||FOV||background dictionary||appearance based model||Visual Sensors||spatial transformation||star sensor||image retrieval||depth vision||iterative closest point||automated design||semantic mapping||regression based model||seam tracking||image binarization||GTAW||boosted decision tree||pedestrian detection||presentation attack detection||visible light and near-infrared light camera sensors||large field of view||fringe projection profilometry||sensors combination||catadioptric sensor||RGB-D sensor||texture description||UAV image||motion estimation||extrinsic calibration||visual sensor||advanced driver assistance system (ADAS)||content-based image retrieval||action segmentation||stereo-vision||visual mapping||around view monitor (AVM) system||illumination||speed measurement||Richardson-Lucy algorithm||digital image correlation||point cloud||receptive field correspondence||human visual attention||camera pose||sign language||symmetry axis||end-to-end architecture||local parallel cross pattern||iris recognition||depth image registration UR - https://mdpi.com/books/pdfview/book/2141 ER -