Pattern codification strategies in structured light systems

By Joaquim Salvi, Jordi Pagès, Joan Batlle. Pattern Recognition, 2004

1,309 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/52f89a99c7e5af264a878dd05b62e94622c6bdac

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

In Computer Vision and Pattern Recognition

Citations in the corpus

Fast 3D Scanning with Automatic Motion Compensation (2007, background): “The ﬁgure also shows that the quality of the approximation is not uniformly distributed: the curves coincide well for phase angles around 0 and π , but are worse for [ 14 π, 34 π ] and [ 54 π , 74 π ] .”
Recent progresses on real-time 3D shape measurement using digital fringe projection techniques (2010, background): “It replaces one camera of a stereo system with a projector to project structured patterns [5], which are encoded with codewords through certain codification strategies.”
Optical techniques for 3D surface reconstruction in computer-assisted laparoscopic surgery (2013, background): “(Salvi et al., 2004) have suggested a classification for structured light patterns based on the coding strategy, e.”
Real-time structured light profilometry: a review (2016, neutral): “Adding this extra dimension of encoding 144 facilitates solving the correspondence problem [23,24], although the limited thickness of the 145 projected lines reduces the stability of this technique when compared to the above color encoded 146 methods.”
Fringe projection techniques: Whither we are? (2010, methodology): “of structured patterns and associated processing algorithms for measuring the 3D shapes of objects [40].”
Large-Scale Data for Multiple-View Stereopsis (2016, methodology): “Our data acquisition was done in a controlled environment similar to Seitz et al. (2006). In our, setup wemounted a camera and a structured light scanner on a 6-axis industrial robot, providing a precise and flexible camera pose, c.”
Temporal phase unwrapping algorithms for fringe projection profilometry: A comparative review (2016, background): “Since N patterns can only code 2N fringe orders, the minimum number of additional binary patterns required is ( ) + f INT log 1 2 , where f is the total number of fringe orders within the full phase map and INT is the ‘integer part’ function [43].”
A review of recent range image registration methods with accuracy evaluation (2007, methodology): “A Review of Recent Range Image Registration Methods with Accuracy Evaluation Joaquim Salvi, Carlès Matabosch, David Fofi, Josep Forest To cite this version: Joaquim Salvi, Carlès Matabosch, David Fofi, Josep Forest.”
Methods for 3D digitization of Cultural Heritage (2007, background): “A lot of work is still being done to develop even more the resolution of the method, which is one of the main fields of research in 3D scanning today [4-16].”
Spatial-Depth Super Resolution for Range Images (2007, background): “For example, laser range scanners can provide extremely accurate and dense 3D measurement over a large working volume [4, 5, 9, 11, 13, 15].”
Large Scale Multi-view Stereopsis Evaluation (2014, background): “ommended as being one of the most precise structured light methods [14, 15, 16].”