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A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
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. Expand
A Database and Evaluation Methodology for Optical Flow
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. Expand
Computer Vision - Algorithms and Applications
  • R. Szeliski
  • Computer Science
  • Texts 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. Expand
Photo tourism: exploring photo collections in 3D
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 frontExpand
A taxonomy and evaluation of dense two-frame stereo correspondence algorithms
Stereo matching is one of the most active research areas in computer vision. While a large number of algorithms for stereo correspondence have been developed, relatively little work has been done onExpand
Modeling the World from Internet Photo Collections
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. Expand
A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms
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. Expand
Edge-preserving decompositions for multi-scale tone and detail manipulation
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. Expand
High-quality video view interpolation using a layered representation
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. Expand
The lumigraph
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 renderExpand