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Quad 6K
2D Box
Fusion Box
Urban
|Autonomous Driving
|...
许可协议: Unknown

Overview

The Quad 6K dataset is a Structure-from-Motion dataset taken at Arts Quad at Cornell University campus and consists of 6514 images with ground truth positions of the camera /and points?) given by different GPS for 348 images.About 5,000 images include geotags recorded by a consumer GPS receiver (an iPhone 3G), while 348 images have very precise GPS coordinates measured using survey-quality differential GPS (with an accuracy of about 10cm) that can be used for ground truth.Also available are reconstruction results from both our method and Incremental Bundle Adjustment, code to compare two sets of camera positions (that may differ by an unknown similarity transform), and the tracks file needed by bundler to perform the final bundle adjustment.Discrete-continuous optimization for large-scale structure from motion, CVPR 2011 and PAMI 2012David Crandall, Andrew Owens, Noah Snavely, Dan Huttenlocher

数据概要
数据格式
point cloud, image,
数据量
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文件大小
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| 数据量 -- | 大小 --
Quad 6K
2D Box Fusion Box
Urban | Autonomous Driving
许可协议: Unknown

Overview

The Quad 6K dataset is a Structure-from-Motion dataset taken at Arts Quad at Cornell University campus and consists of 6514 images with ground truth positions of the camera /and points?) given by different GPS for 348 images.About 5,000 images include geotags recorded by a consumer GPS receiver (an iPhone 3G), while 348 images have very precise GPS coordinates measured using survey-quality differential GPS (with an accuracy of about 10cm) that can be used for ground truth.Also available are reconstruction results from both our method and Incremental Bundle Adjustment, code to compare two sets of camera positions (that may differ by an unknown similarity transform), and the tracks file needed by bundler to perform the final bundle adjustment.Discrete-continuous optimization for large-scale structure from motion, CVPR 2011 and PAMI 2012David Crandall, Andrew Owens, Noah Snavely, Dan Huttenlocher

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