A Multi-camera, Multi-projector Super-Resolution Framework for Structured Light

Weinmann, Michael; Schwartz, Christopher; Ruiters, Roland; Klein, Reinhard

doi:10.1109/3dimpvt.2011.57

Cited by 35 publications

(26 citation statements)

References 27 publications

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“…For this experiment, we rendered images under a glossy reciprocal Phong BRDF and simulated projector-codeword images of the Lucy mesh [29]. A comparison with a purely structured light based reconstruction exploiting projector super-resolution [31] is shown. This technique first reconstructs a point cloud and then utilizes Poisson surface reconstruction [16] to obtain a mesh.…”

Section: Resultsmentioning

confidence: 99%

“…Our technique preserves fine details, e.g. on the wings or the garment, and also reconstructs the concave regions, which are otherwise lost during the Poisson reconstruction of [31]. The plots show the Hausdorff distance to the reference mesh, normalized to the size of an octree cell.…”

Section: Methodsmentioning

confidence: 99%

“…Several approaches try to alleviate this restriction, e.g. by combining codeword information within a multi-camera and multi-projector setting [31] or by using lens-shifted structured light [24]. However, a major drawback of all methods relying on the triangulation of feature correspondences is that this triangulation entails high-frequency noise in the final reconstruction.…”

Section: Previous Workmentioning

confidence: 99%

“…The geometric calibration of cameras and projectors (pinhole camera model including distortion) is obtained via a structured light based bundle adjustment [31]. For estimating the turntable axis, a reference calibration target with easy-to-detect features is placed onto the turntable and the features are tracked.…”

Section: Setupmentioning

confidence: 99%

“…This necessitates that the image-pair measurements are conducted in high dynamic range (HDR). In addition, we also use HDR imaging for the structured light to facilitate robust pattern-decoding (see [31]). …”

Section: Setupmentioning

confidence: 99%

See 4 more Smart Citations

Fusing Structured Light Consistency and Helmholtz Normals for 3D Reconstruction

Weinmann¹,

Ruiters²,

Osep³

et al. 2012

Procedings of the British Machine Vision Conference 2012

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In this paper, we propose a 3D reconstruction approach which combines a structured light based consistency measure with dense normal information obtained by exploiting the Helmholtz reciprocity principle. This combination compensates for the individual limitations of techniques providing normal information, which are mainly affected by low-frequency drift, and those providing positional information, which are often not well-suited to recover fine details. To obtain Helmholtz reciprocal samples, we employ a turntable-based setup. Due to the reciprocity, the structured light directly provides the occlusion information needed during the normal estimation for both the cameras and light sources. We perform the reconstruction by solving one global variational problem which integrates all available measurements simultaneously, over all cameras, light source positions and turntable rotations. For this, we employ an octree-based continuous min-cut framework in order to alleviate metrification errors while maintaining memory efficiency. We evaluate the performance of our algorithm both on synthetic and real-world data.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%