A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
- Daniel Scharstein, R. Szeliski
- Computer ScienceProceedings IEEE Workshop on Stereo and Multi…
- 9 December 2001
This paper has designed a stand-alone, flexible C++ implementation that enables the evaluation of individual components and that can easily be extended to include new algorithms.
A Database and Evaluation Methodology for Optical Flow
- S. Baker, Daniel Scharstein, J. P. Lewis, S. Roth, Michael J. Black, R. Szeliski
- Computer ScienceIEEE International Conference on Computer Vision
- 26 December 2007
This paper proposes a new set of benchmarks and evaluation methods for the next generation of optical flow algorithms and analyzes the results obtained to date to draw a large number of conclusions.
Computer Vision - Algorithms and Applications
- R. Szeliski
- Computer ScienceTexts in Computer Science
- 30 September 2010
Computer Vision: Algorithms and Applications explores the variety of techniques commonly used to analyze and interpret images and takes a scientific approach to basic vision problems, formulating physical models of the imaging process before inverting them to produce descriptions of a scene.
Photo tourism: exploring photo collections in 3D
- Noah Snavely, S. Seitz, R. Szeliski
- Computer ScienceInternational Conference on Computer Graphics and…
- 1 July 2006
We present a system for interactively browsing and exploring large unstructured collections of photographs of a scene using a novel 3D interface. Our system consists of an image-based modeling front…
Edge-preserving decompositions for multi-scale tone and detail manipulation
- Zeev Farbman, Raanan Fattal, Dani Lischinski, R. Szeliski
- Computer ScienceACM Transactions on Graphics
- 1 August 2008
This paper advocates the use of an alternative edge-preserving smoothing operator, based on the weighted least squares optimization framework, which is particularly well suited for progressive coarsening of images and for multi-scale detail extraction.
Modeling the World from Internet Photo Collections
- Noah Snavely, S. Seitz, R. Szeliski
- Computer ScienceInternational Journal of Computer Vision
- 1 November 2008
This paper presents structure-from-motion and image-based rendering algorithms that operate on hundreds of images downloaded as a result of keyword-based image search queries like “Notre Dame” or “Trevi Fountain,” and presents these algorithms and results as a first step towards 3D modeled sites, cities, and landscapes from Internet imagery.
A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms
- S. Seitz, B. Curless, J. Diebel, Daniel Scharstein, R. Szeliski
- Computer ScienceComputer Vision and Pattern Recognition
- 17 June 2006
This paper first survey multi-view stereo algorithms and compare them qualitatively using a taxonomy that differentiates their key properties, then describes the process for acquiring and calibrating multiview image datasets with high-accuracy ground truth and introduces the evaluation methodology.
High-quality video view interpolation using a layered representation
- C. L. Zitnick, S. B. Kang, M. Uyttendaele, S. Winder, R. Szeliski
- Computer ScienceACM Transactions on Graphics
- 1 August 2004
This paper shows how high-quality video-based rendering of dynamic scenes can be accomplished using multiple synchronized video streams combined with novel image-based modeling and rendering algorithms, and develops a novel temporal two-layer compressed representation that handles matting.
The lumigraph
- S. Gortler, R. Grzeszczuk, R. Szeliski, Michael F. Cohen
- Computer ScienceInternational Conference on Computer Graphics and…
- 1 August 1996
This paper discusses a new method for capturing the complete appearanceof both synthetic and real world objects and scenes, representing this information, and then using this representation to render…
Building Rome in a day
- Sameer Agarwal, Yasutaka Furukawa, R. Szeliski
- Computer ScienceIEEE International Conference on Computer Vision
- 1 September 2009
A system that can match and reconstruct 3D scenes from extremely large collections of photographs such as those found by searching for a given city on Internet photo sharing sites and is designed to scale gracefully with both the size of the problem and the amount of available computation.
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