Computer Vision 2d ed - Dand h Ballard

Computer Vision 2d ed - Dand h Ballard

ID:7239603

大小:104.81 MB

页数:230页

时间:2018-02-08

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1、ComputerVision:TableofContentsTableofContentsPrefaceOriginalTableofContents1-Computervisionissues1.1-Achievingsimplevisiongoals(pg1)1.2-High-levelandlow-levelcapabilities(pg2)1.3-Arangeofrepresentations(pg6)1.4-Theroleofcomputers(pg9)1.5-Computervisi

2、onresearchandapplications(pg12)2-ImageFormation2.1-Images(pg4)2.2-ImageModel(pg1)2.2.1-ImageFunctions(pg1)2.2.2-ImagingGeometry(pg2)2.2.3-Reflectance(pg5)2.2.4-SpatialProperties(pg7)2.2.5-Color(pg14)2.2.6-DigitalImages(pg18)2.3-ImagingDevicesforCompu

3、terVision(pg1)2.3.1-PhotographicImaging(pg3)2.3.2-SensingRange(pg11)2.3.3-ReconstructionImaging(pg15)3-EarlyProcessing3.1-RecoveringIntrinsicStructure(pg1)3.2-FilteringtheImage(pg3)3.2.1-TemplateMatching(pg3)3.2.2-HistogramTransformations(pg8)3.2.3-B

4、ackgroundSubtraction(pg10)3.2.4-FilteringandReflectanceModels(pg11)3.3-FindingLocalEdges(pg1)3.3.1-TypesofEdgeOperators(pg2)3.3.2-EdgeThresholdingStrategies(pg6)www.aibbt.com专注人工智能http://www.dai.ed.ac.uk/homes/rbf/BANDB/toc.htm(1of9)[21-10-200315:52:

5、20]ComputerVision:TableofContents3.3.3-Three-DimensionalEdgeOperators(pg7)3.3.4-HowGoodAreEdgeOperators?(pg9)3.3.5-EdgeRelaxation(pg11)3.4-RangeInformationfromGeometry(pg1)3.4.1-StereoVisionandTriangulation(pg1)3.4.2-ARelaxationAlgorithmforStereo(pg2

6、)3.5-SurfaceOrientationfromReflectanceModels(pg6)3.5.1-ReflectivityFunctions(pg6)3.5.2-SurfaceGradient(pg8)3.5.3-PhotometricStereo(pg11)3.5.4-ShapefromShadingbyRelaxation(pg12)3.6-OpticalFlow(pg1)3.6.1-TheFundamentalFlowConstraint(pg1)3.6.2-Calculati

7、ngOpticalFlowbyRelaxation(pg2)3.7-ResolutionPyramids(pg5)3.7.1-Gray-LevelConsolidation(pg5)3.7.2-PyramidalStructuresinCorrelation(pg6)3.7.3-PyramidalStructuresinEdgeDetection(pg8)4-BoundaryDetection4.1-OnAssociatingEdgeElements(pg4)4.2-SearchingNeara

8、nApproximateLocation(pg6)4.2.1-AdjustingAPrioriBoundaries(pg6)4.2.2-Non-LinearCorrelationinEdgeSpace(pg6)4.2.3-Divide-and-ConquerBoundaryDetection(pg7)4.3-TheHoughMethodforCurveDetection(pg1)4.3.1-UseoftheGradient(pg2)4.3.2-SomeExamples(pg3)4.3.3-Tra

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