An Efficient Dense Descriptor Applied for Wide Baseline Stereo
We show that it is possible to estimate depth from two wide baseline images using a dense descriptor. Our local descriptor, called DAISY, is very fast and efficient to compute. It depends on histograms of gradients like SIFT and GLOH but uses a Gaussian weighting and circularly symmetrical kernel. This gives us our speed and efficiency for dense computations. We compute 200-length descriptors for every pixel in an 800×600 image in less than 5 seconds.
DAISY has also been used for multiview stereo reconstruction
Engin Tola,
Vincent Lepetit,
Pascal Fua
Results
Herz-Jesu Grid. By using two images, one from the left-most column and one from the upper row, we compute depth and occlusion maps from the view point of the row image. In the diagonal, we display the ground truth depth maps. We marked the correctly detected occlusions with green, incorrectly detected ones with blue and the missed ones with red. From this Figure, it is apparent that DAISY can handle quite large baselines without losing too much from its accuracy.
Stereo reconstructions obtained using the DAISY descriptor. The first row are the input images where we use the first image and one of the other images as input and the second row shows the respective reconstructions where the first one is the laser scanned ground truth image.
Performance of DAISY against various transformations: Contrast+Rotation, Zoom, Blur and Viewpoint change.
Data
you can download the images that we’ve used in the publications from here. archive contains all the images with calibrations and the groundtruth depth maps used in the experiments. please give a reference to the papers if you use the data in the set. additionally, if you’re using the ground truth depth maps, you need to cite mvs site too.
dataset (468 mb) //Friday, May 28, 2010 14:15:51 +0200
Software
Source code is available under the BSD License.
C++ Code
USAGE | CHANGE-LOG | LICENCE
daisy-v1.8.1 // Sunday, October 11, 2009 11:42:22 +0200
MATLAB Code
USAGE-MATLAB
mdaisy-v1.0 // Wednesday, March 18, 2009 23:48:22 +0100 DAISY has a matlab implementation now.
References
Formation of electron traps in semiconducting polymers via a slow triple-encounter between trap precursor particles
Science And Technology Of Advanced Materials. 2024-12-31. Vol. 25, num. 1, p. 2312148. DOI : 10.1080/14686996.2024.2312148.Data-driven LPV Disturbance Rejection Control with IQC-based Stability Guarantees for Rate-bounded Scheduling Parameter Variations
2024-12-16. 63rd IEEE Conference on Decision and Control (CDC 2024)Milano Congressi (MiCo), Milan, Italy, December 16-19, 2024.Fine Arts in Transition: An Operative Research and Teaching Approach between Analogue and Digital
Lausanne: EPFL Press, 2024-09-30.Validation and Application of Hysteresis Loss Model for HTS Stacks and Conductors for Fusion Applications
Ieee Transactions On Applied Superconductivity. 2024-08-01. Vol. 34, num. 5, p. 4704105. DOI : 10.1109/TASC.2024.3369584.Performance Comparison of Cables With Partial Transposition
Ieee Transactions On Applied Superconductivity. 2024-08-01. Vol. 34, num. 5, p. 4803205. DOI : 10.1109/TASC.2024.3367804.Quench Detection and Temperature Measurement With Fiber Optic Sensors
Ieee Transactions On Applied Superconductivity. 2024-08-01. Vol. 34, num. 5, p. 9001005. DOI : 10.1109/TASC.2023.3346855.Design of a Beam Separator for FLASH Electron Therapy Facilities
Ieee Transactions On Applied Superconductivity. 2024-08-01. Vol. 34, num. 5, p. 4401005. DOI : 10.1109/TASC.2023.3341895.Flow and Snow in Complex Terrain
International Union of Geodesy and Geophysics (IUGG), Berlin, Germany, July 12-16, 2023.Data-Driven Control Synthesis using Koopman Operator: A Robust Approach
2024-07-12
MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning
2024-06-17. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, Washington, USA, June 17-21, 2024.Formation of electron traps in semiconducting polymers via a slow triple-encounter between trap precursor particles
Science And Technology Of Advanced Materials. 2024-12-31. Vol. 25, num. 1, p. 2312148. DOI : 10.1080/14686996.2024.2312148.Data-driven LPV Disturbance Rejection Control with IQC-based Stability Guarantees for Rate-bounded Scheduling Parameter Variations
2024-12-16. 63rd IEEE Conference on Decision and Control (CDC 2024)Milano Congressi (MiCo), Milan, Italy, December 16-19, 2024.Fine Arts in Transition: An Operative Research and Teaching Approach between Analogue and Digital
Lausanne: EPFL Press, 2024-09-30.Validation and Application of Hysteresis Loss Model for HTS Stacks and Conductors for Fusion Applications
Ieee Transactions On Applied Superconductivity. 2024-08-01. Vol. 34, num. 5, p. 4704105. DOI : 10.1109/TASC.2024.3369584.Performance Comparison of Cables With Partial Transposition
Ieee Transactions On Applied Superconductivity. 2024-08-01. Vol. 34, num. 5, p. 4803205. DOI : 10.1109/TASC.2024.3367804.Quench Detection and Temperature Measurement With Fiber Optic Sensors
Ieee Transactions On Applied Superconductivity. 2024-08-01. Vol. 34, num. 5, p. 9001005. DOI : 10.1109/TASC.2023.3346855.Design of a Beam Separator for FLASH Electron Therapy Facilities
Ieee Transactions On Applied Superconductivity. 2024-08-01. Vol. 34, num. 5, p. 4401005. DOI : 10.1109/TASC.2023.3341895.Flow and Snow in Complex Terrain
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2024-07-12
MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning
2024-06-17. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, Washington, USA, June 17-21, 2024.Contacts
| Engin Tola (primary contact) | [e-mail] |
| Vincent Lepetit | [e-mail] |
| Pascal Fua | [e-mail] |