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Video-to-3D

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The article was published on 2002-01-01 and is currently open access. It has received 33 citations till now.

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Citations
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Book ChapterDOI

Determining an initial image pair for fixing the scale of a 3d reconstruction from an image sequence

TL;DR: A quality measure, that is based on the uncertainty of the reconstructed scene points, for the selection of such a stable image pair is proposed and a fully automatic initialization phase for simultaneous localization and mapping algorithms is derived.
Book ChapterDOI

Keyframe Selection for Camera Motion and Structure Estimation from Multiple Views

TL;DR: The presented results show, that the convergence probability of bundle adjustment is significantly improved with the new criterion compared to the state of the art approaches.
Proceedings ArticleDOI

3D models from extended uncalibrated video sequences: addressing key-frame selection and projective drift

TL;DR: An approach that is able to reconstruct 3D models from extended video sequences captured with an uncalibrated hand-held camera is presented and a key-frame selection procedure based on a robust model selection criterion is proposed.
Patent

Key-frame selection for parallel tracking and mapping

TL;DR: In this paper, a method of selecting a first image from a plurality of images for constructing a coordinate system of an augmented reality system is presented, where the first image feature is determined based on a second pose of a camera.
Proceedings ArticleDOI

Fully automatic calibration of LIDAR and video streams from a vehicle

TL;DR: In this article, a fully automatic technique to calibrate a geometric mapping between lidar and video feeds on a mobile ground-based platform is described, which is a crucial first step for any multi-modal scene understanding system which aims to leverage the complementary information of the two sensors.
References
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Journal ArticleDOI

Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography

TL;DR: New results are derived on the minimum number of landmarks needed to obtain a solution, and algorithms are presented for computing these minimum-landmark solutions in closed form that provide the basis for an automatic system that can solve the Location Determination Problem under difficult viewing.
Proceedings ArticleDOI

A Combined Corner and Edge Detector

TL;DR: The problem the authors are addressing in Alvey Project MMI149 is that of using computer vision to understand the unconstrained 3D world, in which the viewed scenes will in general contain too wide a diversity of objects for topdown recognition techniques to work.
Proceedings ArticleDOI

Good features to track

TL;DR: A feature selection criterion that is optimal by construction because it is based on how the tracker works, and a feature monitoring method that can detect occlusions, disocclusions, and features that do not correspond to points in the world are proposed.
Book ChapterDOI

Bundle Adjustment - A Modern Synthesis

TL;DR: A survey of the theory and methods of photogrammetric bundle adjustment can be found in this article, with a focus on general robust cost functions rather than restricting attention to traditional nonlinear least squares.
Proceedings ArticleDOI

A volumetric method for building complex models from range images

TL;DR: This paper presents a volumetric method for integrating range images that is able to integrate a large number of range images yielding seamless, high-detail models of up to 2.6 million triangles.