| 000 | 07409naaaa2202149uu 4500 | ||
|---|---|---|---|
| 001 | https://directory.doabooks.org/handle/20.500.12854/62289 | ||
| 005 | 20220714175724.0 | ||
| 020 | _abooks978-3-03928-339-2 | ||
| 020 | _a9783039283385 | ||
| 020 | _a9783039283392 | ||
| 024 | 7 |
_a10.3390/books978-3-03928-339-2 _cdoi |
|
| 041 | 0 | _aEnglish | |
| 042 | _adc | ||
| 100 | 1 |
_aReinoso Garcia, Oscar _4auth _91595355 |
|
| 700 | 1 |
_aPayá, Luis _4auth _91595356 |
|
| 245 | 1 | 0 | _aVisual Sensors |
| 260 |
_bMDPI - Multidisciplinary Digital Publishing Institute _c2020 |
||
| 300 | _a1 electronic resource (738 p.) | ||
| 506 | 0 |
_aOpen Access _2star _fUnrestricted online access |
|
| 520 | _aVisual 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. | ||
| 540 |
_aCreative Commons _fhttps://creativecommons.org/licenses/by-nc-nd/4.0/ _2cc _4https://creativecommons.org/licenses/by-nc-nd/4.0/ |
||
| 546 | _aEnglish | ||
| 653 | _arecognition algorithm | ||
| 653 | _an/a | ||
| 653 | _a3D ConvNets | ||
| 653 | _aconsistent line clustering | ||
| 653 | _askeletal data | ||
| 653 | _afused point and line feature matching | ||
| 653 | _asoft decision tree | ||
| 653 | _atexture retrieval | ||
| 653 | _avision system | ||
| 653 | _alaser sensor | ||
| 653 | _aneural network | ||
| 653 | _airis segmentation | ||
| 653 | _acorrelation filters | ||
| 653 | _aembedded systems | ||
| 653 | _aunderwater imaging | ||
| 653 | _astereo vision | ||
| 653 | _aseam-line | ||
| 653 | _aimage processing | ||
| 653 | _aquality control | ||
| 653 | _adynamic programming | ||
| 653 | _avisual information fusion | ||
| 653 | _asemantic segmentation | ||
| 653 | _aparallel line | ||
| 653 | _atextile retrieval | ||
| 653 | _astructure extraction | ||
| 653 | _aline scan camera | ||
| 653 | _aorientation relevance | ||
| 653 | _ameasurement error | ||
| 653 | _arotation-angle | ||
| 653 | _astar image prediction | ||
| 653 | _aconvolutional neural network (CNN) | ||
| 653 | _atightly-coupled VIO | ||
| 653 | _avisual sensors | ||
| 653 | _astereo | ||
| 653 | _aparking assist system | ||
| 653 | _avisual detection | ||
| 653 | _aomnidirectional imaging | ||
| 653 | _aRGB-D SLAM | ||
| 653 | _anarrow butt joint | ||
| 653 | _aappearance-temporal features | ||
| 653 | _avision-guided robotic grasping | ||
| 653 | _ascale invariance | ||
| 653 | _asupport vector machine (SVM) | ||
| 653 | _astraight wing aircraft | ||
| 653 | _astatistical information of gray-levels differences | ||
| 653 | _aLocal Binary Patterns | ||
| 653 | _arobotics | ||
| 653 | _amobile robots | ||
| 653 | _atextile localization | ||
| 653 | _aindoor environment | ||
| 653 | _aCLOSIB | ||
| 653 | _ageometric moments | ||
| 653 | _aperceptually uniform histogram | ||
| 653 | _asingle-shot 3D shape measurement | ||
| 653 | _asalient region detection | ||
| 653 | _aperson re-identification | ||
| 653 | _acalibration | ||
| 653 | _astereo camera | ||
| 653 | _asimplified initialization strategy | ||
| 653 | _aLSTM | ||
| 653 | _aSLAM | ||
| 653 | _aimage mosaic | ||
| 653 | _aconvolutional neural network | ||
| 653 | _alane marking detection | ||
| 653 | _afinger alphabet | ||
| 653 | _arobot manipulation | ||
| 653 | _apatrol robot | ||
| 653 | _ainverse compositional Gauss-Newton algorithm | ||
| 653 | _acheckerboard | ||
| 653 | _aaction localization | ||
| 653 | _ahybrid histogram descriptor | ||
| 653 | _apivotal frames | ||
| 653 | _alane marking reconstruction | ||
| 653 | _awarp function | ||
| 653 | _avisual localization | ||
| 653 | _aRGB-D | ||
| 653 | _aautomatic calibration | ||
| 653 | _aSiamese network | ||
| 653 | _aobject recognition | ||
| 653 | _ahuman visual system | ||
| 653 | _aLRF | ||
| 653 | _aGray code | ||
| 653 | _avisual tracking | ||
| 653 | _amotion-aware | ||
| 653 | _avisual odometry | ||
| 653 | _aadaptive update strategy | ||
| 653 | _aManhattan frame estimation | ||
| 653 | _avibration | ||
| 653 | _aconfidence response map | ||
| 653 | _alane marking | ||
| 653 | _a3D reconstruction | ||
| 653 | _aindoor visual SLAM | ||
| 653 | _apose estimation | ||
| 653 | _aglobal feature descriptor | ||
| 653 | _asweet pepper | ||
| 653 | _atexture classification | ||
| 653 | _aego-motion estimation | ||
| 653 | _apose estimates | ||
| 653 | _aplanes intersection | ||
| 653 | _aadaptive model | ||
| 653 | _asupport vector machines | ||
| 653 | _amotif co-occurrence histogram | ||
| 653 | _ahandshape recognition | ||
| 653 | _anon-rigid reconstruction | ||
| 653 | _acamera calibration | ||
| 653 | _amap representation | ||
| 653 | _aoptical flow | ||
| 653 | _arobotic welding | ||
| 653 | _aFOV | ||
| 653 | _abackground dictionary | ||
| 653 | _aappearance based model | ||
| 653 | _aVisual Sensors | ||
| 653 | _aspatial transformation | ||
| 653 | _astar sensor | ||
| 653 | _aimage retrieval | ||
| 653 | _adepth vision | ||
| 653 | _aiterative closest point | ||
| 653 | _aautomated design | ||
| 653 | _asemantic mapping | ||
| 653 | _aregression based model | ||
| 653 | _aseam tracking | ||
| 653 | _aimage binarization | ||
| 653 | _aGTAW | ||
| 653 | _aboosted decision tree | ||
| 653 | _apedestrian detection | ||
| 653 | _apresentation attack detection | ||
| 653 | _avisible light and near-infrared light camera sensors | ||
| 653 | _alarge field of view | ||
| 653 | _afringe projection profilometry | ||
| 653 | _asensors combination | ||
| 653 | _acatadioptric sensor | ||
| 653 | _aRGB-D sensor | ||
| 653 | _atexture description | ||
| 653 | _aUAV image | ||
| 653 | _amotion estimation | ||
| 653 | _aextrinsic calibration | ||
| 653 | _avisual sensor | ||
| 653 | _aadvanced driver assistance system (ADAS) | ||
| 653 | _acontent-based image retrieval | ||
| 653 | _aaction segmentation | ||
| 653 | _astereo-vision | ||
| 653 | _avisual mapping | ||
| 653 | _aaround view monitor (AVM) system | ||
| 653 | _aillumination | ||
| 653 | _aspeed measurement | ||
| 653 | _aRichardson-Lucy algorithm | ||
| 653 | _adigital image correlation | ||
| 653 | _apoint cloud | ||
| 653 | _areceptive field correspondence | ||
| 653 | _ahuman visual attention | ||
| 653 | _acamera pose | ||
| 653 | _asign language | ||
| 653 | _asymmetry axis | ||
| 653 | _aend-to-end architecture | ||
| 653 | _alocal parallel cross pattern | ||
| 653 | _airis recognition | ||
| 653 | _adepth image registration | ||
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://mdpi.com/books/pdfview/book/2141 _70 _zDOAB: download the publication |
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/62289 _70 _zDOAB: description of the publication |
| 999 |
_c2998499 _d2998499 |
||