Circular motion geometry using minimal data

Jiang, Guang; Tsui, Hi Yi; Quan, Long

doi:10.1109/tpami.2004.4

IEEE Trans. Pattern Anal. Machine Intell.

2004

DOI: 10.1109/tpami.2004.4

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Circular motion geometry using minimal data

Guang Jiang

Hi Yi Tsui

Long Quan

Abstract: Circular motion or single axis motion is widely used in computer vision

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Cited by 33 publications

References 29 publications

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On Using Silhouettes for Camera Calibration

Boyer

2006

Computer Vision – ACCV 2006

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Abstract. This paper addresses the problem of camera calibration using object silhouettes in image sequences. It is known that silhouettes encode information on camera parameters by the fact that their associated viewing cones should present a common intersection in space. In this paper, we investigate how to evaluate calibration parameters given a set of silhouettes, and how to optimize such parameters with silhouette cues only. The objective is to provide on-line tools for silhouette based modeling applications in multiple camera environments. Our contributions with respect to existing works in this field is first to establish the exact constraint that camera parameters should satisfy with respect to silhouettes, and second to derive from this constraint new practical criteria to evaluate and to optimize camera parameters. Results on both synthetic and real data illustrate the interest of the proposed framework.

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On Using Silhouettes for Camera Calibration

Boyer

2006

Computer Vision – ACCV 2006

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Towards a Guaranteed Solution to Plane-Based Self-calibration

Bocquillon

Gurdjos

Crouzil

2006

Computer Vision – ACCV 2006

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A Complete System for 3D Reconstruction of Roots for Phenotypic Analysis

Kumar

Cai

Miklavcic

2014

Signal and Image Analysis for Biomedical and Life Sciences

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Here we present a complete system for 3D reconstruction of roots grown in a transparent gel medium or washed and suspended in water. The system is capable of being fully automated as it is self calibrating. The system starts with detection of root tips in root images from an image sequence generated by a turntable motion. Root tips are detected using the statistics of Zernike moments on image patches centred on high curvature points on root boundary and Bayes classification rule. The detected root tips are tracked in the image sequence using a multi-target tracking algorithm. Conics are fitted to the root tip trajectories using a novel ellipse fitting algorithm which weighs the data points by its eccentricity. The conics projected from the circular trajectory have a complex conjugate intersection which are image of the circular points. Circular points constraint the image of the absolute conics which are directly related to the internal parameters of the camera. The pose of the camera is computed from the image of the rotation axis and the horizon. The silhouettes of the roots and camera parameters are used to reconstruction the 3D voxel model of the roots. We show the results of real 3D reconstruction of roots which are detailed and realistic for phenotypic analysis.

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Circular motion geometry using minimal data

Abstract: Circular motion or single axis motion is widely used in computer vision

Cited by 33 publications

References 29 publications

On Using Silhouettes for Camera Calibration

On Using Silhouettes for Camera Calibration

Towards a Guaranteed Solution to Plane-Based Self-calibration

A Complete System for 3D Reconstruction of Roots for Phenotypic Analysis

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