Category:Computer vision
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English: Computer vision is the field concerned with automated imaging and automated computer based processing of images to extract and interpret information. It is the science and technology of machines that see. Here see means the machine is able to extract information from an image, to solve some task, or perhaps "understand" the scene in either a broad or limited sense.
computerized information extraction from images | |||||
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| Said to be the same as | machine vision | ||||
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Subcategories
This category has the following 20 subcategories, out of 20 total.
3
- 3D pose estimation (5 F)
- 3DSlicer (1 P, 9 F)
A
G
H
- HDR vision (3 F)
- Hough transform (22 F)
I
M
- Med-PaLM M (20 F)
P
- Point set registration (8 F)
R
- Reverse image search (5 F)
S
V
Media in category "Computer vision"
The following 200 files are in this category, out of 217 total.
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02 left eye.png 187 × 136; 310 bytes
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03 increased image of smiling face.png 311 × 325; 985 bytes
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3D Computer Vision.jpg 554 × 634; 44 KB
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6D-Vision Result.png 467 × 480; 77 KB
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6D-Vision Situation.png 627 × 463; 169 KB
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AliceVision logo.png 2,559 × 3,510; 116 KB
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Annotated image.png 1,664 × 1,110; 1.32 MB
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ARPS.png 334 × 256; 40 KB
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ATW CNN architecture.png 3,360 × 5,019; 807 KB
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Banana - Plant - Flask by Max Gruber.jpg 3,840 × 2,560; 270 KB
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Banana Plant Flask by Max Gruber.jpg 6,000 × 4,000; 9.42 MB
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Beispielausgabe des Square-square Algorithmus.jpg 1,026 × 1,026; 82 KB
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Beta Trial PhyzBatch-9000.png 4,032 × 3,024; 8.86 MB
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Bi telecentric lens Schneider.jpg 2,702 × 1,803; 1.7 MB
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Bi telecentric lens.jpg 2,960 × 2,220; 1.78 MB
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Bildfunktion.svg 1,052 × 744; 10 KB
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Block artifact kuwahara.jpg 860 × 324; 33 KB
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BoWvectors.JPG 735 × 304; 16 KB
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Cant detec.png 345 × 119; 5 KB
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Ceci n'est pas une banane by Max Gruber.jpg 4,000 × 2,667; 4.07 MB
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Central Projection Idealised Camera Model - no annotation.png 1,920 × 1,088; 39 KB
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Central Projection Idealised Camera Model.png 1,920 × 1,041; 137 KB
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Central projection of a real camera - no annotation.svg 833 × 429; 15 KB
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Central projection of a real camera.svg 833 × 429; 22 KB
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Ceratotherium-simum-simum-combined-overlay.png 1,800 × 1,200; 3.53 MB
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Ceratotherium-simum-simum-foreground-only.png 1,800 × 1,200; 1.77 MB
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Ceratotherium-simum-simum-markup.png 1,800 × 1,200; 40 KB
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Ceratotherium-simum-simum-mask.png 1,800 × 1,200; 18 KB
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Ceratotherium-simum-simum-outline-overlay.png 1,800 × 1,200; 4.28 MB
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Chessboard calibration setup.png 681 × 728; 33 KB
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Classification of images progress human.png 1,445 × 967; 25 KB
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CLEVR1080.png 500 × 281; 140 KB
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Comparison of augmented reality fiducial markers.svg 512 × 920; 1.53 MB
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Comparison of speed and accuracy of detectors.png 1,094 × 1,021; 363 KB
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Computer vision sample in Simón Bolivar Avenue, Quito.jpg 952 × 538; 99 KB
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ComputerVisionProcess-vi.svg 600 × 320; 19 KB
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Constructionist Steps Towards an Autonomously Empathetic System.pdf 1,650 × 1,275, 6 pages; 4.6 MB
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Corrective Computer Vision (6802032).jpg 1,496 × 2,503; 1.73 MB
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Creuaments0.png 529 × 151; 9 KB
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CSIRO ScienceImage 1721 Demonstrating Smart Vision technology.jpg 2,512 × 2,233; 3.18 MB
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CVoverview.jpg 499 × 374; 26 KB
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CVoverview2-ES.jpg 984 × 753; 228 KB
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CVoverview2.svg 726 × 508; 29 KB
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DatasetSample.png 1,586 × 1,066; 2.2 MB
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Deep Learning.jpg 1,239 × 1,012; 341 KB
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Definition der Verzeichnungskorrektur dr in der Bildebene.svg 1,052 × 744; 19 KB
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Definition of distortion correction dr inside the image plane.svg 1,052 × 744; 19 KB
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Definition of the image function no annotation.svg 1,055 × 744; 7 KB
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Definition of the image function.svg 1,055 × 744; 10 KB
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DenseCap (Johnson et al., 2016) (cropped).png 702 × 495; 489 KB
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DenseCap (Johnson et al., 2016).png 1,500 × 495; 1.02 MB
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Densesamp.png 282 × 202; 13 KB
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Depth computing.png 323 × 507; 32 KB
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Deteccion-de-regiones.png 335 × 288; 90 KB
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Driver monitor camera.png 1,099 × 450; 59 KB
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DS algo.png 354 × 338; 108 KB
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EfficientNetB3V2.jpg 720 × 720; 66 KB
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EfficientNetB3V2.png 1,018 × 494; 522 KB
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EfficientNetB4.png 1,018 × 494; 431 KB
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EfficientNetB7.jpg 720 × 720; 65 KB
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Eigenvector.jpg 366 × 289; 12 KB
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Eight point neighborhood.svg 482 × 247; 2 KB
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Eightpoint.png 497 × 246; 6 KB
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Embedding generation pipeline.png 992 × 72; 23 KB
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EmiMa-099-Prewitt-x-color.jpg 5,543 × 3,695; 10.43 MB
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EmiMa-099-Prewitt-x.jpg 5,543 × 3,695; 525 KB
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EmiMa-099-Prewitt-y.jpg 5,543 × 3,695; 510 KB
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EmiMa-099-semantic-segmentation.png 5,543 × 3,695; 131 KB
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EmiMa-099-Sobel-x.jpg 5,543 × 3,695; 535 KB
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EmiMa-099-Sobel-y.jpg 5,543 × 3,695; 522 KB
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Essential matrix fig.png 1,024 × 528; 128 KB
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Event camera comparison.jpg 1,500 × 568; 281 KB
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Example hough.png 800 × 409; 45 KB
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Example kuwahara.jpg 233 × 235; 5 KB
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Example of SIFT features.jpg 800 × 453; 275 KB
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F1A glider hook processed by Deriche edge detector.jpg 540 × 720; 56 KB
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F1A glider hook.jpg 540 × 720; 84 KB
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FAST Corner Detector.jpg 550 × 385; 46 KB
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Fast Feature Extraction with CNNs with Pooling Layers.pdf 850 × 1,285, 10 pages; 291 KB
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Feature example.png 512 × 372; 204 KB
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Figura 2 ASM.gif 210 × 210; 6 KB
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Figura 3 ASM.gif 206 × 246; 6 KB
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Fingertrack backview.gif 550 × 478; 220 KB
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Flowchart of the spatio-temporal action localization detector Segment-tube.png 3,934 × 3,280; 1.93 MB
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Flowers after difference of gaussians grayscale.jpg 800 × 755; 186 KB
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Flowers before difference of gaussians.jpg 800 × 755; 300 KB
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Fmat ded fig1.png 914 × 646; 36 KB
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Fmat ded fig2.png 714 × 434; 31 KB
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Fmat ded fig3.png 585 × 329; 18 KB
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Food recommendation image.jpg 2,850 × 1,530; 905 KB
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Frametraking.png 504 × 207; 28 KB
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FSS Algo.png 331 × 270; 66 KB
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FSS Search Pattern.png 285 × 279; 78 KB
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Geckomatics.png 2,400 × 1,200; 4.19 MB
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GemIdentComposite.jpg 744 × 683; 125 KB
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GeometricHasingExample.png 393 × 373; 7 KB
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Gesture Recognition.jpg 3,008 × 1,960; 2.28 MB
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Grapevine leaf processed by Deriche edge detector.jpg 2,816 × 2,112; 2.93 MB
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Grapevine leaf.jpg 2,816 × 2,112; 3.57 MB
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Graphical abstract-synth2real.jpg 1,125 × 345; 55 KB
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Gromov-Hausdorff distance.png 1,634 × 1,636; 84 KB
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Halodi Robotics' Perception Engineer With a Humanoid Collaborative Robot.jpg 3,024 × 3,024; 1.12 MB
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Harris corners detected on chessboard.png 767 × 548; 90 KB
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Hough transform diagram.svg 1,856 × 868; 48 KB
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House Recommendation Image.jpg 2,850 × 1,530; 985 KB
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Image processing post otsus algorithm.jpg 1,024 × 768; 117 KB
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Image processing pre otsus algorithm.jpg 1,024 × 768; 104 KB
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Image-captioning.png 715 × 322; 258 KB
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Image-segmentation-example-segmented-fe.jpg 1,200 × 900; 216 KB
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Image-segmentation-example-segmented.png 1,200 × 900; 18 KB
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Intelligent scissors segmentation.png 490 × 310; 216 KB
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Inverse depth parametrization.svg 500 × 468; 18 KB
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Ipb FigModelJunction.png 1,725 × 2,383; 186 KB
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KiSoftVision3.jpg 1,920 × 1,080; 1.11 MB
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Kuwahara varying window sizes.jpg 639 × 482; 47 KB
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Kuwahara.jpg 233 × 235; 14 KB
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L-junction.jpg 324 × 300; 15 KB
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Lbp computation.png 254 × 379; 5 KB
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Lbp computation.svg 288 × 402; 113 KB
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Lbp neighbors.svg 358 × 118; 23 KB
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Lochkameramodell technisch.svg 921 × 602; 42 KB
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Luminosity histogram.jpg 312 × 332; 52 KB
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Magician artwork.jpg 1,502 × 2,120; 988 KB
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Magician processed by Deriche edge detector.jpg 1,502 × 2,120; 953 KB
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Mask R-CNN.webp 720 × 541; 44 KB
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MERTZ - An active vision head robot for exploring social learning, MIT Stata Center.jpg 1,024 × 1,280; 270 KB
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Michael J Black Copyright MPI-IS.jpg 909 × 1,280; 507 KB
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Motion Segmentation Algorithm.png 314 × 457; 25 KB
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MotionDetection.jpg 312 × 288; 18 KB
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Multi-Label Wireless Interference Identification with Convolutional Neural Networks.pdf 1,275 × 1,650, 6 pages; 346 KB
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Multiple chessboard views.png 1,128 × 678; 426 KB
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Mycrossdatabase.jpg 850 × 1,170; 244 KB
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Mètode SIFT.png 569 × 256; 140 KB
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Mètode SURF.png 565 × 258; 140 KB
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Neural Abstraction Pyramid.jpg 1,343 × 782; 253 KB
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Night run reconstruction.png 1,307 × 598; 224 KB
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ObjectDetectionExample.png 3,501 × 2,300; 7.41 MB
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Objectdetectionproblem.png 958 × 960; 2.25 MB
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OneThird avocado ripeness checker Migros.jpg 2,000 × 2,884; 1.87 MB
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OpenCV Logo with text.png 600 × 739; 31 KB
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Optische Abbildungsgeometrie einer Kamera.svg 833 × 549; 51 KB
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Overview of the coarse-to-fine temporal action localization.png 722 × 253; 38 KB
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Pcl (PointClouds library) logo with text.png 466 × 626; 14 KB
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Percepto Autonomous Drone Landing in Strong Winds.webm 46 s, 198 × 360; 6.99 MB
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Person re-id algorithm demo based CV2 SoM.jpg 3,017 × 2,012; 613 KB
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Perspective chessboard detected lines.png 767 × 548; 85 KB
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Perspective chessboard edges.png 767 × 548; 17 KB
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Perspective chessboard hough transform.png 767 × 548; 224 KB
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Perspective chessboard.png 767 × 548; 28 KB
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Phase correlation.png 769 × 279; 107 KB
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Phot object tracking stages.png 926 × 309; 41 KB
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PhyzBatch-9000 Production Model Machine.png 2,770 × 2,822; 6.27 MB
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Pilot Comparative Study of Different Deep Features for Palmprint Identification in Low-Quality Images.pdf 1,239 × 1,752, 6 pages; 225 KB
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Pinhole camera model technical version - no annotation.svg 921 × 602; 37 KB
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Pinhole camera model technical version.svg 921 × 602; 43 KB
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Pole-mount video camera unit for traffic pattern analysis.jpg 3,024 × 4,032; 9.36 MB
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Principles of imaging geometry of a camera no annotation.svg 833 × 549; 42 KB
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Principles of imaging geometry of a camera.svg 833 × 549; 53 KB
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Prm VJ fig1 featureTypesWithAlpha.png 668 × 668; 7 KB
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Prm VJ fig3 computeRectangleWithAlpha.png 800 × 600; 2 KB
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Prm VJ fig4 cascadeWithAlpha.png 768 × 438; 14 KB
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Procediment.jpg 848 × 888; 65 KB
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Proces.jpg 653 × 387; 62 KB
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Pyramid of gradients.png 811 × 333; 82 KB
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Reale Zentralprojektion einer Kamera.svg 833 × 429; 22 KB
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Reconstructed boards camera.png 507 × 384; 18 KB
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Reconstructed boards world.png 529 × 471; 16 KB
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ResNet50V1.jpg 720 × 720; 65 KB
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ResNet50V2.jpg 720 × 720; 65 KB
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RobertoCipolla1.jpg 3,082 × 2,430; 1.32 MB
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Roberts cross stärke.jpg 796 × 600; 56 KB
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Roberts cross1.jpg 796 × 600; 30 KB
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Roberts cross2.jpg 796 × 600; 29 KB
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Room-to-room.jpg 1,622 × 550; 314 KB
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Sample questions.png 822 × 1,308; 973 KB
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Samples of object co-segmentation.jpg 1,970 × 1,510; 1.22 MB
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ScalabilityOfAnnoyIndex.jpg 864 × 576; 44 KB
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Scene graph example.png 836 × 773; 422 KB
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Search Block.png 210 × 181; 6 KB
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Sensor-operated-urinals1377p.jpg 1,232 × 816; 94 KB
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SES Algo.png 324 × 258; 93 KB
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SES Search Pattern.png 333 × 264; 32 KB
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Sgm method.PNG 634 × 353; 99 KB
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Sgm two passes.svg 170 × 170; 13 KB
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SIFT gradient magnitude and orientation computation.svg 322 × 174; 188 KB
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SIFT histogram construction.svg 240 × 54; 132 KB
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Sift1.png 620 × 478; 180 KB
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Sift2.png 620 × 478; 223 KB
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Square-square 11 Iterations.jpg 1,026 × 1,026; 33 KB
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Square-square Algorithm Iteration 2.png 761 × 761; 65 KB
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Square-square Iteration 2 Weights.png 761 × 761; 76 KB
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SteveMann 30 years of Augmediated Reality in everyday life.png 3,640 × 2,520; 5.89 MB
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Stixels.png 676 × 590; 212 KB
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Sunflowers image processed by Deriche edge detector.jpg 2,112 × 2,816; 704 KB
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