Optimization on Shape Curves with Application to Specular Stereo

Balzer, Jonathan; Höfer, Sebastian; Werling, Stefan; Beyerer, Jürgen

doi:10.1007/978-3-642-15986-2_5

Lecture Notes in Computer Science

2010

DOI: 10.1007/978-3-642-15986-2_5

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Optimization on Shape Curves with Application to Specular Stereo

Jonathan Balzer

Sebastian Höfer

Stefan Werling

et al.

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Cited by 3 publications

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“…Another work by Guo et al[101] keens on how to use least squares method to track the light ray in measuring the shape of specular surfaces. A novel incident light tracking technique for measuring specular reflective surfaces is proposed and it successfully reconstructs a concave mirror without numerical integration.Moreover, the third solution for measuring specular surfaces is to utilize the stereovision system with an LCD screen[39,97,102]. As shown inFig.…”

mentioning

confidence: 99%

Advances in 3D optical profilometry

Huang¹

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mentioning

confidence: 99%

Advances in 3D optical profilometry

Huang¹

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Multiview specular stereo reconstruction of large mirror surfaces

Balzer

Höfer²,

Beyerer

2011

CVPR 2011

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In deflectometry, the shape of mirror objects is recovered from distorted images of a calibrated scene. While remarkably high accuracies are achievable, state-of-the-art methods suffer from two distinct weaknesses: First, for mainly constructive reasons, these can only capture a few square centimeters of surface area at once. Second, reconstructions are ambiguous i.e. infinitely many surfaces lead to the same visual impression. We resolve both of these problems by introducing the first multiview specular stereo approach, which jointly evaluates a series of overlapping deflectometric images. Two publicly available benchmarks accompany this paper, enabling us to numerically demonstrate viability and practicability of our approach

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Deflectometry based inline inspection of linearly moving plastic parts

Meguenani¹,

Chambard²,

Maillot³

et al. 2019

Fourteenth International Conference on Quality Control by Artificial Vision

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Widely used for surface slopes measurements and for three-dimensional shape reconstruction, deflectometry is a particularly powerful technique that can also be applied for defects detection on specular surfaces. In the visible domain, deflectometry is usually based on the projection of complex encoded light patterns and necessitates heavy processing that makes it not suitable for inline inspection. In this paper, A new deflectometry based approach that is more adapted for inline inspection of linearly moving parts (parts on conveyors) is proposed. Based on a more affordable and a simpler hardware setup, the new approach allows at the same time for a proper localization and a precise geometrical quantification of any defects on the scanned specular surfaces. The proposed approach uses a fast and simple processing algorithm that lends itself very well to real-time inspection. The new method is tested and validated in laboratory for the inspection of defects on specular surfaces of plastic parts.

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Optimization on Shape Curves with Application to Specular Stereo

Cited by 3 publications

References 7 publications

Advances in 3D optical profilometry

Advances in 3D optical profilometry

Multiview specular stereo reconstruction of large mirror surfaces

Deflectometry based inline inspection of linearly moving plastic parts

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