Material identification by surface reflection analysis in combination with bundle adjustment technique

Authors:
A. B. Orun;A. Alkis
Affiliations:
School of Computer Science, University of Birmingham, Edgbaston Birmingham B15 2TT, UK;Department of Geodesy and Photogrammetry, Yildiz Technical University, Besiktas, Istanbul, Turkey
Venue:
Pattern Recognition Letters
Year:
2003

Citing 7
Cited 2

3-D Shape from a Shaded and Textural Surface Image

IEEE Transactions on Pattern Analysis and Machine Intelligence
Surface Identification Using the Dichromatic Reflection Model

IEEE Transactions on Pattern Analysis and Machine Intelligence
Image processing in C, part 15: basic texture operations

C/C++ Users Journal
Rough surface classification using point statistics from photometric stereo

Pattern Recognition Letters
Robot Vision

Robot Vision
Direct Estimation of Shape from Texture

IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture segmentation and shape in the same image

ICCV '95 Proceedings of the Fifth International Conference on Computer Vision

Object material classification by surface reflection analysis with a time-of-flight range sensor

ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II
Material information acquisition using a ToF range sensor for interactive object recognition

ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part II

Quantified Score

Hi-index	0.10

Visualization

Abstract

This work aims to investigate a unified method for surface analysis and remote surface identification. The work includes two independent and simultaneously operating techniques which exploit both the local surface geometry (by bundle adjustment technique) and the microstructure of the material surface (whose image is generated by laser-surface interaction). The unification of these two techniques enables the unambiguous identification of surface type at any orientation.