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Claim this profileWorks365 from public data
- 20,865
- 3,862
- Multiple view geometry in computer visiond2,863
The book covers the geometric principles and how to represent objects algebraically so they can be computed and applied and explains how to apply the methods and implement the algorithms directly.
- 2,734
- 2,080
- In defense of the eight-point algorithm1,931
This paper shows that by preceding the eight-point algorithm with a very simple normalization (translation and scaling) of the coordinates of the matched points, results are obtained comparable with the best iterative algorithms.
- 829
- 818
- Estimation of relative camera positions for uncalibrated cameras705
A non-iterative algorithm is given for determining the focal lengths of the two cameras, as well as their relative placement, assuming all other internal camera parameters to be known.
- Subexpression sharing in filters using canonic signed digit multipliers661
This paper examines methods for optimizing the design of CSD multipliers, and in particular the gains that can be made by sharing subexpressions, and it is shown that sharing the two most common sub expressions can be expected to lead to a 33% saving of the number of additions.
- Rotation Averaging650
This paper is conceived as a tutorial on rotation averaging, summarizing the research that has been carried out in this area and contains many new results, which were developed to fill gaps in knowledge, answering fundamental questions such as radius of convergence of the algorithms, and existence of local minima.
- 645
- 564
- 537
- Linear pushbroom cameras497
The linear pushbroom model introduced in this paper has the advantage of computational simplicity while at the same time giving very accurate results compared with the full orbiting push broom model.
- Euclidean reconstruction from uncalibrated views478
A practical algorithm for Euclidean reconstruction from several views with the same camera is given and is shown to behave very robustly in the presence of noise giving excellent calibration and reconstruction results.
- Theory and Practice of Projective Rectification473
A new method for image rectification, the process of resampling pairs of stereo images taken from widely differing viewpoints in order to produce a pair of “matched epipolar projections”, based on an examination of the fundamental matrix of Longuet-Higgins which describes the epipolar geometry of the image pair.
- Multiframe Motion Segmentation with Missing Data Using PowerFactorization and GPCA446
This algorithm involves projecting all point trajectories onto a 5-dimensional subspace using the SVD, the PowerFactorization method, or RANSAC, and fitting multiple linear subspaces representing different rigid-body motions to the points in ℝ5 using GPCA.
- Learning to Estimate Hidden Motions with Global Motion Aggregation436
This paper argues that the occlusion problem can be better solved in the two-frame case by modelling image self-similarities, and introduces a global motion aggregation module, a transformer-based approach to find long-range dependencies between pixels in the first image, and perform global aggregation on the corresponding motion features.
- 418
- Self-calibration from multiple views with a rotating camera413
There is no epipolar structure since all images are taken from the same point in space and determination of point matches is considerably easier than for images taken with a moving camera, since problems of occlusion or change of aspect or illumination do not occur.
- 378
- Bringing a Blurry Frame Alive at High Frame-Rate With an Event Camera341
This paper proposes a simple and effective approach, the Event-based Double Integral (EDI) model, to reconstruct a high frame-rate, sharp video from a single blurry frame and its event data, based on solving a simple non-convex optimization problem in a single scalar variable.
- High-quality Image-based Interactive Exploration of Real-World Environments328
This paper enables users to virtually explore large environments from the comforts of their sofa with a system that marries the realism of high quality imagery acquired from real world locations together with the 3D interactivity typical of computer games.
- Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices316
To encode the geometry of the manifold in the mapping, a family of provably positive definite kernels on the Riemannian manifold of SPD matrices is introduced, derived from the Gaussian kernel, but exploit different metrics on the manifold.
Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-14. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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