Surface Reflection: Physical and Geometrical Perspectives
IEEE Transactions on Pattern Analysis and Machine Intelligence
Constraining Object Features Using a Polarization Reflectance Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Theory of Specular Surface Geometry
International Journal of Computer Vision
Retrieving Shape Information from Multiple Images of a Specular Surface
IEEE Transactions on Pattern Analysis and Machine Intelligence
Sketching shiny surfaces: 3D shape extraction and depiction of specular surfaces
ACM Transactions on Applied Perception (TAP)
EURASIP Journal on Applied Signal Processing
A Theory of Refractive and Specular 3D Shape by Light-Path Triangulation
International Journal of Computer Vision
Mesostructure from specularity using gradient illumination
PROCAMS '08 Proceedings of the 5th ACM/IEEE International Workshop on Projector camera systems
Shape Recovery of Specular Surface Using Color Highlight Stripe and Light Source Coding
MIRAGE '09 Proceedings of the 4th International Conference on Computer Vision/Computer Graphics CollaborationTechniques
An Improved Structured Light Inspection of Specular Surfaces Based on Quaternary Coding
MIRAGE '09 Proceedings of the 4th International Conference on Computer Vision/Computer Graphics CollaborationTechniques
Reading from Scratch --- A Vision-System for Reading Data on Micro-structured Surfaces
Proceedings of the 31st DAGM Symposium on Pattern Recognition
Palmprint recognition using 3-D information
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Windshield shape inspection using structured light patterns from two diffuse planar light sources
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Optimization on shape curves with application to specular stereo
Proceedings of the 32nd DAGM conference on Pattern recognition
Hi-index | 0.14 |
An approach to illumination and imaging of specular surfaces that yields three-dimensional shape information is described. The structured highlight approach uses a scanned array of point sources and images of the resulting reflected highlights to compute local surface height and orientation. A prototype structured highlight inspection system, called SHINY, has been implemented. SHINY demonstrates the determination of surface shape for several test objects including solder joints. The current SHINY system makes the distant-source assumption and requires only one camera. A stereo structured highlight system using two cameras is proposed to determine surface-element orientation for objects in a much larger field of view. Analysis and description of the algorithms are included. The proposed structured highlight techniques are promising for many industrial tasks.