An Enhanced Structure-from-Motion Paradigm Based on the Absolute Dual Quadric and Images of Circular Points

Calvet, Lilian; Gurdjos, Pierre

doi:10.1109/iccv.2013.126

Cited by 3 publications

(4 citation statements)

References 16 publications

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“…the camera would be useful for gaze-tracking applications, which usually require introducing an additional device [39]. As shown in [40], the detection of one person's eye provides important 3D-clues: we believe that coupling such a technique with the proposed photometric and geometric models would result in an improved gaze-tracking system which would involve nothing but a computer screen and an integrated webcam.…”

Section: Discussionmentioning

confidence: 99%

A full photometric and geometric model for attached webcam/matte screen devices

Quéau

Modrzejewski

Gurdjos

et al. 2016

Signal Processing: Image Communication

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International audienceWe present a thorough photometric and geometric study of the multimedia devices composed of both a matte screen and an attached camera, where it is shown that the light emitted by an image displayed on the monitor can be expressed in closed-form at any point facing the screen, and that the geometric calibration of the camera attached to the screen can be simplified by introducing simple geometric constraints. These theoretical contributions are experimentally validated in a photometric stereo application with extended sources, where a colored scene is reconstructed while watching a collection of graylevel images displayed on the screen, providing a cheap and entertaining way to acquire realistic 3D-representations for, e.g., augmented reality

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Section: Discussionmentioning

confidence: 99%

A full photometric and geometric model for attached webcam/matte screen devices

Quéau

Modrzejewski

Gurdjos

et al. 2016

Signal Processing: Image Communication

Self Cite

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“…1 according to the algebraic and geometric constraints presented in Sec. 3 if there are orthogonality geometric constraints in the scene then 4:…”

Section: Optimization Of Point Cloud Reconstructionmentioning

confidence: 99%

“…To recover the metric reconstruction, the intrinsic camera parameters must be obtained. Song [2] and Calvet [3] proposed the estimation of an absolute dual-quadric surface to realize self-calibration. In the calculation process, the matrix of the absolute quadric surface must be semi-definite.…”

Section: Introductionmentioning

confidence: 99%

Camera Self-Calibration and 3D Stratified Reconstruction for Image Sequences with Geometric Features

Jiang,

Zhao,

Zhuo

et al. 2024

Preprint

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Three-dimensional (3D) stratified reconstruction under geometric transformations is of great significance in computer vision research. Certain applications involve projective or affine reconstruction; however, metric reconstruction best reflects the factual information of the object. The internal and external parameters of the camera play important roles in the stratified reconstruction. This study performed camera calibration using the geometric constraints of a scene in an image sequence or video stream. Consequently, 3D stratified reconstruction from the point cloud was performed according to the algebraic and geometric relations between projective, affine, and metric transformations. Delaunay triangulation and texture mapping were then used to restore the surface of the object in the scene. The results show that the object could be reconstructed both in disordered images and video streams and could be used to restore the 3D appearance of the object and obtain its corresponding geometric information. Finally, the You Only Look Once Version (YOLOV5) target detection algorithm was used to detect the metric reconstruction results, which demonstrated that the effect was satisfactory.

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“…We have recently reported [4,5] how to integrate circular fiducials within a unified Structure-from-Motion paradigm, where we describe how images of circular point-pairs can be combined with images of natural points.…”

Section: The Proposed Circular Fiducial Systemmentioning

confidence: 99%

Detection and Accurate Localization of Circular Fiducials under Highly Challenging Conditions

Calvet

Gurdjos

Griwodz

et al. 2016

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

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OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible. AbstractUsing fiducial markers ensures reliable detection and identification of planar features in images. Fiducials are used in a wide range of applications, especially when a reliable visual reference is needed, e.g., to track the camera in cluttered or textureless environments. A marker designed for such applications must be robust to partial occlusions, varying distances and angles of view, and fast camera motions. In this paper, we present a robust, highly accurate fiducial system, whose markers consist of concentric rings, along with its theoretical foundations. Relying on projective properties, it allows to robustly localize the imaged marker and to accurately detect the position of the image of the (common) circle center. We demonstrate that our system can detect and accurately localize these circular fiducials under very challenging conditions and the experimental results reveal that it outperforms other recent fiducial systems.

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An Enhanced Structure-from-Motion Paradigm Based on the Absolute Dual Quadric and Images of Circular Points

Abstract: This work aims at introducing a new unified Structurefrom-Motion (SfM)

Cited by 3 publications

References 16 publications

A full photometric and geometric model for attached webcam/matte screen devices

A full photometric and geometric model for attached webcam/matte screen devices

Camera Self-Calibration and 3D Stratified Reconstruction for Image Sequences with Geometric Features

Detection and Accurate Localization of Circular Fiducials under Highly Challenging Conditions

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