Visual Sensors

© 2020 by the authors; CC BY-NC-ND license

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