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dc.contributor.authorReinoso Garcia, Oscar*
dc.contributor.authorPayá, Luis*
dc.date.accessioned2021-02-12T07:59:16Z
dc.date.available2021-02-12T07:59:16Z
dc.date.issued2020*
dc.date.submitted2020-04-07 23:07:09*
dc.identifier44864*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/62289
dc.description.abstractVisual 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.*
dc.languageEnglish*
dc.subjectTA1-2040*
dc.subjectT1-995*
dc.subject.otherrecognition algorithm*
dc.subject.othern/a*
dc.subject.other3D ConvNets*
dc.subject.otherconsistent line clustering*
dc.subject.otherskeletal data*
dc.subject.otherfused point and line feature matching*
dc.subject.othersoft decision tree*
dc.subject.othertexture retrieval*
dc.subject.othervision system*
dc.subject.otherlaser sensor*
dc.subject.otherneural network*
dc.subject.otheriris segmentation*
dc.subject.othercorrelation filters*
dc.subject.otherembedded systems*
dc.subject.otherunderwater imaging*
dc.subject.otherstereo vision*
dc.subject.otherseam-line*
dc.subject.otherimage processing*
dc.subject.otherquality control*
dc.subject.otherdynamic programming*
dc.subject.othervisual information fusion*
dc.subject.othersemantic segmentation*
dc.subject.otherparallel line*
dc.subject.othertextile retrieval*
dc.subject.otherstructure extraction*
dc.subject.otherline scan camera*
dc.subject.otherorientation relevance*
dc.subject.othermeasurement error*
dc.subject.otherrotation-angle*
dc.subject.otherstar image prediction*
dc.subject.otherconvolutional neural network (CNN)*
dc.subject.othertightly-coupled VIO*
dc.subject.othervisual sensors*
dc.subject.otherstereo*
dc.subject.otherparking assist system*
dc.subject.othervisual detection*
dc.subject.otheromnidirectional imaging*
dc.subject.otherRGB-D SLAM*
dc.subject.othernarrow butt joint*
dc.subject.otherappearance-temporal features*
dc.subject.othervision-guided robotic grasping*
dc.subject.otherscale invariance*
dc.subject.othersupport vector machine (SVM)*
dc.subject.otherstraight wing aircraft*
dc.subject.otherstatistical information of gray-levels differences*
dc.subject.otherLocal Binary Patterns*
dc.subject.otherrobotics*
dc.subject.othermobile robots*
dc.subject.othertextile localization*
dc.subject.otherindoor environment*
dc.subject.otherCLOSIB*
dc.subject.othergeometric moments*
dc.subject.otherperceptually uniform histogram*
dc.subject.othersingle-shot 3D shape measurement*
dc.subject.othersalient region detection*
dc.subject.otherperson re-identification*
dc.subject.othercalibration*
dc.subject.otherstereo camera*
dc.subject.othersimplified initialization strategy*
dc.subject.otherLSTM*
dc.subject.otherSLAM*
dc.subject.otherimage mosaic*
dc.subject.otherconvolutional neural network*
dc.subject.otherlane marking detection*
dc.subject.otherfinger alphabet*
dc.subject.otherrobot manipulation*
dc.subject.otherpatrol robot*
dc.subject.otherinverse compositional Gauss-Newton algorithm*
dc.subject.othercheckerboard*
dc.subject.otheraction localization*
dc.subject.otherhybrid histogram descriptor*
dc.subject.otherpivotal frames*
dc.subject.otherlane marking reconstruction*
dc.subject.otherwarp function*
dc.subject.othervisual localization*
dc.subject.otherRGB-D*
dc.subject.otherautomatic calibration*
dc.subject.otherSiamese network*
dc.subject.otherobject recognition*
dc.subject.otherhuman visual system*
dc.subject.otherLRF*
dc.subject.otherGray code*
dc.subject.othervisual tracking*
dc.subject.othermotion-aware*
dc.subject.othervisual odometry*
dc.subject.otheradaptive update strategy*
dc.subject.otherManhattan frame estimation*
dc.subject.othervibration*
dc.subject.otherconfidence response map*
dc.subject.otherlane marking*
dc.subject.other3D reconstruction*
dc.subject.otherindoor visual SLAM*
dc.subject.otherpose estimation*
dc.subject.otherglobal feature descriptor*
dc.subject.othersweet pepper*
dc.subject.othertexture classification*
dc.subject.otherego-motion estimation*
dc.subject.otherpose estimates*
dc.subject.otherplanes intersection*
dc.subject.otheradaptive model*
dc.subject.othersupport vector machines*
dc.subject.othermotif co-occurrence histogram*
dc.subject.otherhandshape recognition*
dc.subject.othernon-rigid reconstruction*
dc.subject.othercamera calibration*
dc.subject.othermap representation*
dc.subject.otheroptical flow*
dc.subject.otherrobotic welding*
dc.subject.otherFOV*
dc.subject.otherbackground dictionary*
dc.subject.otherappearance based model*
dc.subject.otherVisual Sensors*
dc.subject.otherspatial transformation*
dc.subject.otherstar sensor*
dc.subject.otherimage retrieval*
dc.subject.otherdepth vision*
dc.subject.otheriterative closest point*
dc.subject.otherautomated design*
dc.subject.othersemantic mapping*
dc.subject.otherregression based model*
dc.subject.otherseam tracking*
dc.subject.otherimage binarization*
dc.subject.otherGTAW*
dc.subject.otherboosted decision tree*
dc.subject.otherpedestrian detection*
dc.subject.otherpresentation attack detection*
dc.subject.othervisible light and near-infrared light camera sensors*
dc.subject.otherlarge field of view*
dc.subject.otherfringe projection profilometry*
dc.subject.othersensors combination*
dc.subject.othercatadioptric sensor*
dc.subject.otherRGB-D sensor*
dc.subject.othertexture description*
dc.subject.otherUAV image*
dc.subject.othermotion estimation*
dc.subject.otherextrinsic calibration*
dc.subject.othervisual sensor*
dc.subject.otheradvanced driver assistance system (ADAS)*
dc.subject.othercontent-based image retrieval*
dc.subject.otheraction segmentation*
dc.subject.otherstereo-vision*
dc.subject.othervisual mapping*
dc.subject.otheraround view monitor (AVM) system*
dc.subject.otherillumination*
dc.subject.otherspeed measurement*
dc.subject.otherRichardson-Lucy algorithm*
dc.subject.otherdigital image correlation*
dc.subject.otherpoint cloud*
dc.subject.otherreceptive field correspondence*
dc.subject.otherhuman visual attention*
dc.subject.othercamera pose*
dc.subject.othersign language*
dc.subject.othersymmetry axis*
dc.subject.otherend-to-end architecture*
dc.subject.otherlocal parallel cross pattern*
dc.subject.otheriris recognition*
dc.subject.otherdepth image registration*
dc.titleVisual Sensors*
dc.typebook
oapen.identifier.doi10.3390/books978-3-03928-339-2*
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0*
virtual.oapen_relation_isPublishedBy.publisher_nameMDPI - Multidisciplinary Digital Publishing Institute
virtual.oapen_relation_isPublishedBy.publisher_websitewww.mdpi.com/books
oapen.relation.isbn9783039283385*
oapen.relation.isbn9783039283392*
oapen.pages738*
oapen.edition1st*


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