Radiometric calibration of a Helmholtz stereo rig

Jankó, Zsolt; Šára, Radim

doi:10.1109/cvpr.2004.1315028

Cited by 10 publications

(29 citation statements)

References 9 publications

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“…Our method also allows local surface colour variation which we estimate by integrating novel chromatic calibration procedures into the pipeline. We also generalise the previous work in photometric calibration of Jankó et al [7] to multiple multi-chromatic cameras and light sources. Our colour HS is the first variant of HS to successfully reconstruct real dynamic scenes as demonstrated in the evaluation.…”

Section: Related Workmentioning

confidence: 81%

“…Provided the assumptions of equal camera responses and no spatial source intensity variation hold, the resultant calibration is good considering that it is done from HS data without calibration targets. A much more general radiometric set-up calibration for HS was proposed by Jankó et al [7]. Using a sequence of localised calibration planes Jankó et al calibrate for a spatially varying joint parameter describing sensitivity and radiance of a collocated camera and light source pair.…”

Section: Related Workmentioning

confidence: 99%

“…We address all these challenges by developing a complete practical pipeline for colour HS. The pipeline includes a generalisation of the white light photometric calibration procedure from Janko et al [7] to accommodate for chromatic characteristics of the cameras and multispectral light sources. As surface colour will affect inter-channel compatibility we propose a novel method for surface chromaticity calibration.…”

Section: Introductionmentioning

confidence: 99%

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Colour Helmholtz Stereopsis for Reconstruction of Complex Dynamic Scenes

Roubtsova

Guillemaut

2014

2014 2nd International Conference on 3D Vision

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Abstract-Helmholtz Stereopsis (HS) is a powerful technique for reconstruction of scenes with arbitrary reflectance properties. However, previous formulations have been limited to static objects due to the requirement to sequentially capture reciprocal image pairs (i.e. two images with the camera and light source positions mutually interchanged). In this paper, we propose colour HS -a novel variant of the technique based on wavelength multiplexing. To address the new set of challenges introduced by multispectral data acquisition, the proposed novel pipeline for colour HS uniquely combines a tailored photometric calibration for multiple camera/light source pairs, a novel procedure for surface chromaticity calibration and the state-of-the-art Bayesian HS suitable for reconstruction from a minimal number of reciprocal pairs. Experimental results including quantitative and qualitative evaluation demonstrate that the method is suitable for flexible (single-shot) reconstruction of static scenes and reconstruction of dynamic scenes with complex surface reflectance properties.

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Section: Related Workmentioning

confidence: 81%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Colour Helmholtz Stereopsis for Reconstruction of Complex Dynamic Scenes

Roubtsova

Guillemaut

2014

2014 2nd International Conference on 3D Vision

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“…In (Zickler et al, 2003a;Zickler, 2006), HS was later extended to uncalibrated cameras. Other research concentrated on improving the accuracy of HS by radiometric calibration (Jankó et al, 2004), as well as generalising the method to structured and strongly textured surfaces (Guillemaut et al, 2004). Applications of the Helmholtz reciprocity principle have also been considered in the contexts of surface registration and computer graphics (Sen et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

A Maximum Likelihood Surface Normal Estimation Algorithm for Helmholtz Stereopsis

Guillemaut¹,

Illingworth²,

Šára³

2008

Proceedings of the Third International Conference on Computer Vision Theory and Applications

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Abstract:Helmholtz stereopsis is a relatively recent reconstruction technique which is able to reconstruct scenes with arbitrary and unknown surface reflectance properties. Conventional implementations of the method estimate surface normal direction at each surface point via an eigenanalysis, thereby optimising an algebraic distance. We develop a more physically meaningful radiometric distance whose minimisation is shown to yield a Maximum Likelihood surface normal estimate. The proposed method produces more accurate results than algebraic methods on synthetic imagery and yields excellent reconstruction results on real data. Our analysis explains why, for some imaging configurations, a sub-optimal algebraic distance can yield good results.

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“…A 12 bit digital camera Vosskuhler CCD-1300 equipped with a 25 mm lens was used along with the halogen lamp acting as a point light source. Both the camera and the light source were radiometrically calibrated using the method described in [1]. The distance between the camera and the centre of the table is approximately 80 cm and the distance between the camera and the light source 60 cm.…”

Section: Resultsmentioning

confidence: 99%