Structured light 3D scanning in the presence of global illumination
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Citations
Multi-Camera-based High Precision Measurement Approach for Surface Acquisition
Scene adaptive structured light using error detection and correction
3D reconstruction of mirror-type objects using efficient ray coding
Feedback projection for 3D measurements under complex lighting conditions
Acquiring and characterizing plane-to-ray indirect light transport
References
A state of the art in structured light patterns for surface profilometry
Fast separation of direct and global components of a scene using high frequency illumination
Shape from interreflections
Superfast phase-shifting method for 3-D shape measurement
Dense 3D surface acquisition by structured light using off-the-shelf components
Related Papers (5)
A state of the art in structured light patterns for surface profilometry
Pattern codification strategies in structured light systems
Frequently Asked Questions (11)
Q2. What is the way to design patterns with only high frequencies?
For short range effects, the authors draw on tools from the combinatorial maths literature to design patterns with large minimum stripe-widths.
Q3. What is the common way of detecting a scene?
In all these settings, scene points receive illumination indirectly in the form of inter-reflections, sub-surface or volumetric scattering.
Q4. What are the steps to correct the error?
It is important to note that for this error correction strategy to be effective, the error prevention and detection stages are critical.
Q5. What is the goal of this paper?
The goal of this paper is to build an end-to-end system for structured light scanning under a broad range of global illumination effects.
Q6. How can the authors find codes with large min-SW?
For conventional Gray codes, although short-range effects might result in incorrect binarization of the lower-order bits, the higherorder bits are decoded correctly.
Q7. Why did the early work in the field drive the research?
Since the early work in the field about 40 years ago [18, 12], research has been driven by two factors: reducing the acquisition time and increasing the depth resolution.
Q8. How many iterations do the authors need to reduce the residual errors?
Repeat steps 1 − 5 to progressively reduce the residual errors (Section 5).first iteration itself, the authors require only a small number of extra iterations (typically 1-2) even for challenging scenes.
Q9. What is the effect of low-pass filtering of the incident light?
In the context of structured light, these effects can severely blur the high-frequency patterns, making it hard to correctly binarize them.
Q10. What are the main issues that prevent them from being applicable broadly?
While these approaches have shown promise, there are three issues that prevent them from being applicable broadly: (a) the direct component estimation may fail due to strong inter-reflections (as with shiny metallic parts), (b) the residual direct component may be too low and noisy (as with translucent surfaces, milk and murky water), and (c) they require significantly higher number of images than traditional approaches, or rely on weak cues like polarization.
Q11. How is it possible to generate codes with large min-SW?
On the contrary, it is easy to generate codes with small maximum stripe-width (9), as compared to 512 for the conventional Gray codes, by performing a brute-force searchmin-SW (8) is given by Goddyn et al . [6]