Geometric Calibration of Micro-Lens-Based Light-Field Cameras Using Line Features

Bok, Yunsu; Jeon, Hae‐Gon; Kweon, In So

doi:10.1007/978-3-319-10599-4_4

Cited by 68 publications

(111 citation statements)

References 17 publications

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“…Over the years, several studies have provided different methods to acquire disparity maps from an SPC (Heber and Pock 2014;Bok et al 2014;Jeon et al 2015;Tao et al 2017). To the best of our knowledge, researchers have not dealt with the estimation of an object's distance using triangulation on the basis of disparity maps obtained from a light field camera.…”

Section: Introductionmentioning

confidence: 99%

Baseline and Triangulation Geometry in a Standard Plenoptic Camera

et al. 2017

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In this paper, we demonstrate light field triangulation to determine depth distances and baselines in a plenoptic camera. Advances in micro lenses and image sensors have enabled plenoptic cameras to capture a scene from different viewpoints with sufficient spatial resolution. While object distances can be inferred from disparities in a stereo viewpoint pair using triangulation, this concept remains ambiguous when applied in the case of plenoptic cameras. We present a geometrical light field model allowing the triangulation to be applied to a plenoptic camera in order to predict object distances or specify baselines as desired. It is shown that distance estimates from our novel method match those of real objects placed in front of the camera. Additional benchmark tests with an optical design software further validate the model's accuracy with deviations of less than ±0.33% for several main lens types and focus settings.

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Section: Introductionmentioning

confidence: 99%

Baseline and Triangulation Geometry in a Standard Plenoptic Camera

et al. 2017

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“…To obtain the accuracy of measuring linear dimensions, the optical system was calibrated [4]. The theoretical features of the calibration of light field chambers are considered in [5]. Practical questions of calibration are considered in [2].…”

Section: Advances In Engineering Research Volume 133mentioning

confidence: 99%

Method for studying shape of cutting tool by light field recorder

Maksarov

Makhov²

2017

Proceedings of the International Conference "Actual Issues of Mechanical Engineering" 2017 (AIME 2017)

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Abstract-A technique for controlling the shape of the surface and the defects of the cutting tool by an optoelectronic system of the light field is proposed. The physical and information models of the optical-electronic light field recorder, the mathematical model of the edge of the cutting surface of the tap, which allow one to construct the optimal optical scheme for image registration and create algorithms for determining the deviation of the tool shape from the reference profile by wavelet analysis and frequency-coordinate transformation are considered. It is shown that the use of frequency-coordinate transformation algorithms allows determining deviations of geometric shapes of working surfaces, detecting local defects less than 1% of the height of the profile of the cutting part of the tool.

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“…Yunsu Bok developed an efficient geometric calibration method for traditional light field camera (i.e. lytro lightfield camera) using line features [13]. However, the distance between the sensor plane and the microlens array in the lytro light field camera is equal to the focal length of each microlens.…”

Section: Geometric Calibration Of Focused Light Field Camera For 3-d mentioning

confidence: 99%

“…Meanwhile, the same f-numbers of main lens and microlens are applied to establish the calibration equations. This paper aims to propose a modified method for the calibration of the focused light field camera based on Zhang's method [13]. The principle of the calibration method is presented in details.…”

Section: Geometric Calibration Of Focused Light Field Camera For 3-d mentioning

confidence: 99%

Geometric calibration of focused light field camera for 3-D flame temperature measurement

Sun

Zhang

Wang

et al. 2016

2016 IEEE International Instrumentation and Measurement Technology Conference Proceedings

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Abstract-Focused light field camera can be used to measure three-dimensional (3-D) temperature field of a flame because of its ability to record intensity and direction information of each ray from flame simultaneously. This work aims to develop a suitable geometric calibration method of focused light field camera for 3-D flame temperature measurement. A modified method based on Zhang's camera calibration is developed to calibrate the camera and the measurement system. A single focused light-field camera is used to capture images of bespoke calibration board instead of flame images in this study. Geometric parameters including intrinsic (i.e., camera parameters) and extrinsic (i.e., camera connecting with the calibration board) of the focused light field camera are calibrated to trace the ray projecting onto each pixel on CCD (chargecoupled device) sensor. Instead of using line features, corner point features are directly utilized for the calibration. The characteristics of focused light field camera including one 3-D point corresponding to several image points and matching main lens and microlens f-numbers, are used for calibration. Results with a focused light field camera are presented and discussed. Preliminary the 3-D temperature distribution of a flame is also investigated and presented.

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Geometric Calibration of Micro-Lens-Based Light-Field Cameras Using Line Features

Cited by 68 publications

References 17 publications

Baseline and Triangulation Geometry in a Standard Plenoptic Camera

Baseline and Triangulation Geometry in a Standard Plenoptic Camera

Method for studying shape of cutting tool by light field recorder

Geometric calibration of focused light field camera for 3-D flame temperature measurement

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