Design and Use of an In-Museum System for Artifact Capture

Rushmeier, Holly; Gomes, Jonas; Giordano, Frank R.; Shishiny, H. El; Magerlein, Karen A.; Bernardini, Fausto

doi:10.1109/cvprw.2003.10005

Cited by 11 publications

(7 citation statements)

References 5 publications

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“…The 3D LRF uses the area scan technique to acquire a set of discrete points on object surfaces, which is called the area point cloud. With the development of 3D laser ranging techniques, some methods have been proposed for the extrinsic calibration of a 3D LRF and a camera by using special calibration objects, such as a checkerboard pattern with round holes [25], a cube with checkerboard patterns [15], and a scenario with multiple checkerboard patterns [6]. These methods mainly compute the geometric elements from the raw sensor data to construct the geometric constraints and solve the extrinsic parameters between a 3D LRF and a camera.…”

Section: Extrinsic Calibration Of a 3dmentioning

confidence: 99%

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Calibration of a 3D laser rangefinder and a camera based on optimization solution

An¹,

Li²,

Wang³

et al. 2021

Journal of Industrial &Amp; Management Optimization

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The calibration of a 3D laser rangefinder (LRF) and a camera is a key technique in the field of computer vision and intelligent robots. This paper proposes a new method for the calibration of a 3D LRF and a camera based on optimization solution. The calibration is achieved by freely moving a checkerboard pattern in front of the camera and the 3D LRF. The images and the 3D point clouds of the checkerboard pattern in various poses are collected by the camera and the 3D LRF respectively. By using the images, the intrinsic parameters and the poses of the checkerboard pattern are obtained. Then, two kinds of geometric constraints, line-to-plane constraints and plane-to-plane constraints, are constructed to solve the extrinsic parameters by linear optimization. Finally, the intrinsic and extrinsic parameters are further refined by global optimization, and are used to compute the geometric mapping relationship between the 3D LRF and the camera. The proposed calibration method is evaluated with both synthetic data and real data. The experimental results show that the proposed calibration method is accurate and robust to noise.

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Section: Extrinsic Calibration Of a 3dmentioning

confidence: 99%

“…Rushmeier et al [15] proposed a method for the extrinsic calibration of a 3D LRF and a camera based on plane-to-plane constraints by using a high-precision cube with checkerboard patterns. Then, a 3D scanning system is designed to capture both geometry and photometry of the museum artifacts.…”

Section: Extrinsic Calibration Of a 3dmentioning

confidence: 99%

Calibration of a 3D laser rangefinder and a camera based on optimization solution

An¹,

Li²,

Wang³

et al. 2021

Journal of Industrial &Amp; Management Optimization

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show abstract

“…More recent work has used the principle of photometric stereo [WooSO] to allow image‐based reconstruction of BRDFs [DvGNK99] and surface normals [RTG97,PF02,RGG*03]. Hertzmann and Seitz [HS03] use "orientation consistency" to relate calibrated material examples to targets, decomposing observed surfaces into a basis set of materials.…”

Section: Introductionmentioning

confidence: 99%

“…Three systems reported in the literature may be considered the basis of our work. First is that of Rushmeier et al [RBMT98,RGG*03], where a rig comprising several light sources and a camera is moved around museum artifacts. Their system however depends on laser scans of the objects to account for nonplanarity.…”

Section: Introductionmentioning

confidence: 99%

BRDF and geometry capture from extended inhomogeneous samples using flash photography

Paterson

Claus

Fitzgibbon

2005

Computer Graphics Forum

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We present a technique which allows capture of 3D surface geometry and a useful class of BRDFs using extremely simple equipment. A standard digital camera with an attached flash serves as a portable capture device, which may be used to sample geometry to very high resolution, as well as supplying samples over a large portion of the 4D space on which the BRDF is defined. Importantly, it allows capture of extended samples which may have spatially varying (inhomogeneous) BRDF. We demonstrate the system by capturing the geometry of complex materials with varying albedo and BRDF. We show in-situ capture of materials such as a brick wall and a human hand. The limitations of the system are that samples should be roughly planar, and that the BRDF should have some diffuse component in order that a first approximation to the normals can be computed. However, given the simplicity and ease of use of the system (it takes a few minutes to carefully capture a hand), and the ability to capture extended surfaces without any range capture device such as a laser scanner we argue that it is a valuable addition to the range of real-world BRDF capture systems in the literature. We extend standard photometric stereo techniques by moving both the camera and the light source. By incorporating automatic parallax correction we allow the capture of surfaces which are quite far from planar.

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“…However, two-dimensional textures have a tendency to resemble wallpaper at oblique angles, and are unable to produce realistic silhouettes or change appearance under different lighting. Displacement mapping or relief mapping methods [Oliveira 2000] can overcome these limitations, but full reflectance and geometry model data are difficult to capture from real surfaces, requiring expensive scanning equipment and subsequent manual alignment with photographically acquired textures [Rushmeier et al 2003;Lensch et al 2003], a large set of data, and/or complicated rigs [Dana et al 1999;Marschner et al 1999]. Games companies often employ skilled artists to create texture model data for displacement mapping using 3D modeling packages, which is a laborious process.…”

mentioning

confidence: 99%

A case study evaluation

Ward

Glencross

2009

Proceedings of the 6th Symposium on Applied Perception in Graphics and Visualization

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Citation: WARD, G. and GLENCROSS, M., 2009 ABSTRACT This paper evaluates a new method for capturing surfaces with variations in albedo, height, and local orientation using a standard digital camera with three flash units. Similar to other approaches, captured areas are assumed to be globally flat and largely diffuse. Fortunately, this encompasses a wide array of interesting surfaces, including most materials found in the built environment, e.g., masonry, fabrics, floor coverings, and textured paints. We present a case study of naïve subjects who found that surfaces captured with our method, when rendered under novel lighting and view conditions, were statistically indistinguishable from photographs. This is a significant improvement over previous methods, to which our results are also compared.

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Design and Use of an In-Museum System for Artifact Capture

Cited by 11 publications

References 5 publications

Calibration of a 3D laser rangefinder and a camera based on optimization solution

Calibration of a 3D laser rangefinder and a camera based on optimization solution

BRDF and geometry capture from extended inhomogeneous samples using flash photography

A case study evaluation

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