Color-Encoded Structured Light for Rapid Active Ranging
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computation of Surface Orientation and Structure of Objects Using Grid Coding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Reading between the lines—a method for extracting dynamic 3D with texture
VRST '97 Proceedings of the ACM symposium on Virtual reality software and technology
Trinocular Active Range-Sensing
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Vision Driven Automatic Assembly Unit
CAIP '99 Proceedings of the 8th International Conference on Computer Analysis of Images and Patterns
3D shape recovery of complex objects from multiple silhouette images
Pattern Recognition Letters
Structured light 3D free form recovering with sub-pixel precision
Machine Graphics & Vision International Journal
Fast acquisition of dense depth data by a new structured light scheme
Computer Vision and Image Understanding
Fast acquisition of dense depth data by a new structured light scheme
Computer Vision and Image Understanding
Palmprint recognition using 3-D information
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Structured light system-based selective data acquisition
Robotics and Computer-Integrated Manufacturing
3-D face modeling from two views and grid light
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
A survey of human motion analysis using depth imagery
Pattern Recognition Letters
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A method for 3-D surface measurement using a projected grid of light is presented. The grid line identification problem is solved using very general constraints. At the same time, 3-D surface patch solutions are developed. From the general constraints of set of geometric and topological rules are derived that are effectively applied in the computation of grid labels and hence 3-D surface solutions. A set of five algorithms has been applied on five real scenes consisting of multiple objects of arbitrary shapes. The results show that globally consistent surface solutions can be obtained rapidly with good accuracy using a single image. A small degree of ambiguity remains, but can be further reduced or removed using increased knowledge.