redwood-data.org
Robust Reconstruction of Indoor Scenes
http://redwood-data.org/indoor/tutorial.html
Robust Reconstruction of Indoor Scenes. Download the reconstruction system (293M). The current version is 1.1 ( change log. It requires a 64-bit Windows system and an Nvidia graphics card. The package contains three folders:. Executable files, dynamic link files, and bash scripts. Input, output, and intermediate data files. A program to produce input files from an Asus Xtion/Primesense sensor. And the latest CUDA. We highly recommend that you install a BASH emulation. Git for Windows. To make the first t...
cvgl.stanford.edu
Computational Vision and Geometry Lab
http://cvgl.stanford.edu/projects/pascal3d.html
Beyond PASCAL: A Benchmark for 3D Object Detection in the Wild. Beyond PASCAL: A Benchmark for 3D Object Detection in the Wild. In IEEE Winter Conference on Applications of Computer Vision (WACV), 2014. bibtex. Release1.1 7.5GB. PASCAL VOC 2012 and ImageNet images and annotations, 3D CAD models, annotation tool, VDPM code, and segmentation code). PASCAL VOC 2012 train and validation images and annotations, 3D CAD models, and annotation tool). VDPM - 4 Views. VDPM - 8 Views. VDPM - 16 Views. 7] - 4 Views.
redwood-data.org
Robust Reconstruction of Indoor Scenes
http://redwood-data.org/indoor/models.html
Robust Reconstruction of Indoor Scenes. These reconstructions were produced by the pipeline presented in our CVPR 2015 paper. If you use these models, please cite the paper. The source data is described on this site. Mit dorm next sj. The source data is described on this page.
computervisionblog.com
Tombone's Computer Vision Blog: December 2013
http://www.computervisionblog.com/2013_12_01_archive.html
Tombone's Computer Vision Blog. Deep Learning, Computer Vision, and the algorithms that are shaping the future of Artificial Intelligence. Friday, December 27, 2013. Understanding the Visual World, one 3D reconstruction at a time. Once said, large annotated datasets marked the end of the "Wild Wild West" in Computer Vision - for the first time, large datasets allowed researchers to compare object recognition algorithms on the same sets of images! What is different about these datasets is that some come w...
cs.nyu.edu
RMRC: Reconstruction Meets Recognition Challenge
http://cs.nyu.edu/~silberman/rmrc2014
Reconstruction Meets Recognition Challenge 2014. Christian Puhrsch and Rob Fergus. Score (Mean Abs Angular Distance). Christian Puhrsch and Rob Fergus. Datasets and extend them in a variety of ways to provide the community with a set of challenges ranging from low level to high level vision. We envision this workshop to be the first one in a series of workshops which will help push forward the performance of the field. 06/09/14: RMRC Workshop (at ECCV 2014. 11/08/14: The evaluation server has been opened.
