{"id":36,"date":"2014-05-20T11:30:24","date_gmt":"2014-05-20T09:30:24","guid":{"rendered":"http:\/\/roboimagedata-webtest.compute.dtu.dk\/?page_id=36"},"modified":"2018-02-19T16:20:05","modified_gmt":"2018-02-19T14:20:05","slug":"mvs-data-set-2014","status":"publish","type":"page","link":"https:\/\/roboimagedata.compute.dtu.dk\/?page_id=36","title":{"rendered":"MVS Data Set – 2014"},"content":{"rendered":"
\"STL<\/a>

Structured light point cloud from the downloadable dataset (set6).<\/p><\/div>\n

Data Set Description<\/h2>\n

This data set (freely available)\u00a0is aimed at multiple view stereo (MVS) evaluation, and is made\u00a0using\u00a0our robotic lab set up\u00a0outlined here.<\/span><\/u><\/a><\/p>\n

An industrial\u00a0robot arm\u00a0was mounted with\u00a0a structured light scanner. This allowed\u00a0for structured\u00a0light scans\u00a0corresponding\u00a0to\u00a0each image in the data set. The images\u00a0were taken by\u00a0one of the cameras\u00a0in the\u00a0structured light scanner. A small video presenting the dataset can be found here<\/span><\/u><\/a>.<\/p>\n

The data set consist of 124 different scenes, where 80 of them have been used in\u00a0the evaluation of the above mentioned paper. The remaining 44\u00a0consist\u00a0mainly of scenes\u00a0that have been\u00a0rotatated and scanned four times with\u00a090 degree intervals, which enables 360 degree models.\u00a0A few have been removed from the evaluation\u00a0due to low\u00a0quality.<\/p>\n

The scenes\u00a0include a wide range of objects\u00a0in an effort to span the\u00a0MVS problem. At the same time, the data set also include scenes with very similar objects, e.g. model houses, such that intra class variability can be explored. Each scene has been taken from 49 or 64 position, corresponding to the number of RGB images in\u00a0each scene or scan. The image resolution is 1600 x 1200. The camera positions\u00a0and internal camera parameters have been found with high accuracy, via the matlab calibration toolbox<\/span><\/u><\/a>, which is also the toolbox you need to retrieve these parameters.\u00a0\u00a0Lastly, the scenes have been recorded in all 49 or 64 scens with seven different lighting conditions from\u00a0directional to\u00a0diffuse.<\/p>\n

If you use\u00a0this data set please cite the article:<\/h2>\n

Rasmus Jensen, Anders Dahl, George Vogiatzis, Engin Tola, Henrik Aanaes, “Large Scale Multi-view Stereopsis Evaluation<\/strong>“, CVPR, 2014,\u00a0pdf<\/a> bibtex<\/a><\/p>\n

Or the extended journal version:<\/strong><\/p>\n

Henrik Aan\u00e6s, Rasmus Jensen, George Vogiatzis, Engin Tola, Anders Dahl, “Large-Scale Data for Multiple-View Stereopsis<\/strong>“, International Journal of Computer Vision, 2016, pdf<\/a>\u00a0bibtex<\/a><\/p>\n

For more details on the data set, the reader is referred to the above mentioned papers and the downloads below.<\/p>\n

The SampleSet below contains code and data sample sets with details specified in the included ReadMe. We have tried to break up the downloads in reasonable chunks, but some are still very large.\u00a0If you\u00a0encounter problems downloading it, please contact us.<\/p>\n

Download Data and Evaluation Code<\/h2>\n