A fast 3D hand model reconstruction by stereo vision system

Sangi, Mehrdad; Jahed, Mehran

doi:10.1109/iccae.2010.5451277

Cited by 3 publications

(5 citation statements)

References 17 publications

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“…The principal line can be calculated by finding a line that is perpendicular to − −− → A B and passing through the vanishing point G . By substituting k 1 = 1 3 and…”

Section: A Deriving Closed-form Solution Of the Principal Linementioning

confidence: 99%

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Geometry-Based Camera Calibration Using Closed-Form Solution of Principal Line

Chuang

Umam

et al. 2021

IEEE Trans. on Image Process.

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“…The principal line can be calculated by finding a line that is perpendicular to − −− → A B and passing through the vanishing point G . By substituting k 1 = 1 3 and…”

Section: A Deriving Closed-form Solution Of the Principal Linementioning

confidence: 99%

“…C AMERA calibration is a crucial step in many 3D vision applications, such as robotic navigation [1], depth map estimation [2], and 3D reconstruction [3]. Camera calibration establishes the geometric relation between 3D world coordinate system (WCS) and the 2D image plane of camera by finding extrinsic and intrinsic camera parameters.…”

Section: Introductionmentioning

confidence: 99%

Geometry-Based Camera Calibration Using Closed-Form Solution of Principal Line

Chuang

Umam

et al. 2021

IEEE Trans. on Image Process.

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“…The 3D coordinates are then given by X/W, Y/W, and Z/W [10]. The results of this step provided the 3D coordinates of the landmarks.…”

Section: D Reconstructionmentioning

confidence: 99%

“…Although wearable sensors such as data gloves provide a precise measurement of hand motion, they have serious limitations in realizing the true constraints in natural hand movements [9]. These methods have the ability to consider natural hand movements with true DOFs, and are cost effective and simple to implement due to their inherent device independence and non-contact structure [10].…”

Section: Introductionmentioning

confidence: 99%

Model based hand motion estimation through stereo vision

Vahid

Jahed

2013

2013 6th International Congress on Image and Signal Processing (CISP)

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Recognition of hand movements plays a key role in both human computer interaction and rehabilitation activities.This paper focuses on hand pose estimation and motion tracking through a model-based stereo vision-based system. To allow for a complete 3D motion, initially a simple hand model with 20 landmark points was constructed and used to track its motion through a sequence of stereo images. Furthermore, a skeletal model representing the kinematical features of the hand was utilized to provide a meaningful hand motion and gesticulation. To evaluate and eventually recognize the performed hand motion, Kalman filter and Kalman smoother algorithms were implemented to evaluate the efficacy and assist in tracking of the proposed hand motion. These algorithms provided an estimate of the desired hand poses by minimizing the respective differences between the skeletal model and the 3D reconstructed model. As our proposed method required only 20 points, estimation results illustrate that the proposed approach is a cost effective and real time hand motion tracking approach, suitable for rehabilitation purposes.

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“…Camera calibration is a crucial step in many 3D vision applications, such as robotic navigation [4], depth map estimation [6], and 3D reconstruction [12]. Camera calibration establishes the geometric relation between 3D world coordinate system (WCS) and the 2D image plane of camera by finding extrinsic and intrinsic camera parameters.…”

Section: Introductionmentioning

confidence: 99%

A New Technique of Camera Calibration: A Geometric Approach Based on Principal Lines

Chuang,

Ho,

Umam

et al. 2019

Preprint

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Camera calibration is a crucial prerequisite in many applications of computer vision. In this paper, a new, geometry-based camera calibration technique is proposed, which resolves two main issues associated with the widely used Zhang's method: (i) the lack of guidelines to avoid outliers in the computation and (ii) the assumption of fixed camera focal length. The proposed approach is based on the closed-form solution of principal lines (PLs), with their intersection being the principal point while each PL can concisely represent relative orientation/position (up to one degree of freedom for both) between a special pair of coordinate systems of image plane and calibration pattern. With such analytically tractable image features, computations associated with the calibration are greatly simplified, while the guidelines in (i) can be established intuitively. Experimental results for synthetic and real data show that the proposed approach does compare favorably with Zhang's method, in terms of correctness, robustness, and flexibility, and addresses issues (i) and (ii) satisfactorily.

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A fast 3D hand model reconstruction by stereo vision system

Cited by 3 publications

References 17 publications

Geometry-Based Camera Calibration Using Closed-Form Solution of Principal Line

Geometry-Based Camera Calibration Using Closed-Form Solution of Principal Line

Model based hand motion estimation through stereo vision

A New Technique of Camera Calibration: A Geometric Approach Based on Principal Lines

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