Del i serien X.media.publishing

3D Computer Vision

Efficient Methods and Applications

Häftad, Engelska, 2014

AvChristian Wöhler

829 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

Finns i fler format (1)

Inbunden

1 149 kr

Skickas inom 10-15 vardagar

This indispensable text introduces the foundations of three-dimensional computer vision and describes recent contributions to the field. Fully revised and updated, this much-anticipated new edition reviews a range of triangulation-based methods, including linear and bundle adjustment based approaches to scene reconstruction and camera calibration, stereo vision, point cloud segmentation, and pose estimation of rigid, articulated, and flexible objects. Also covered are intensity-based techniques that evaluate the pixel grey values in the image to infer three-dimensional scene structure, and point spread function based approaches that exploit the effect of the optical system. The text shows how methods which integrate these concepts are able to increase reconstruction accuracy and robustness, describing applications in industrial quality inspection and metrology, human-robot interaction, and remote sensing.

Produktinformation

Utgivningsdatum2014-08-09
Mått155 x 235 x 22 mm
Vikt381 g
FormatHäftad
SpråkEngelska
SerieX.media.publishing
Antal sidor382
Upplaga2
FörlagSpringer London Ltd
ISBN9781447159445

Tillhör följande kategorier

Systemvetenskap och AI inom Data och IT
Programmeringsböcker inom Data och IT

Part I: Methods of 3D Computer Vision.- Triangulation-based Approaches to Three-dimensional Scene Reconstruction.- Three-dimensional Pose Estimation and SegmentationMethods.- Intensity-based and Polarisation-based Approaches.- Point Spread Function Based Approaches to Three-dimensional Scene Reconstruction.- Integrated Frameworks for Three-dimensional Scene Reconstruction.- Part II: Application Scenarios.- Applications to Industrial Quality Inspection.- Applications to Safe Human–Robot Interaction.- Applications to Lunar Remote Sensing.- Conclusion.