Three-dimensional object recognition
ACM Computing Surveys (CSUR) - Annals of discrete mathematics, 24
COSMOS-A Representation Scheme for 3D Free-Form Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Reflectance and texture of real-world surfaces
ACM Transactions on Graphics (TOG)
Illumination for computer generated pictures
Communications of the ACM
A practical model for subsurface light transport
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
A practical model for subsurface light transport
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Interactive Computer Graphics
Three-Dimensional Object Recognition from Range Images
Three-Dimensional Object Recognition from Range Images
Pattern Recognition Letters
Bidirectional Texture Contrast Function
International Journal of Computer Vision - Special Issue on Texture Analysis and Synthesis
Local feature extraction and matching on range images: 2.5D SIFT
Computer Vision and Image Understanding
Shape Index SIFT: Range Image Recognition Using Local Features
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
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
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This paper proposes a noncontact active vision technique that analyzes the reflection pattern of infrared light to estimate the object material according to the degree of surface smoothness (or roughness). To obtain the surface micro structural details and the surface orientation information of a free-form 3D object, the system employs only a time-of-flight range camera. It measures reflection intensity patterns with respect to surface orientation for various material objects. Then it classifies these patterns by Random Forest (RF) classifier to identify the candidate of material of reflected surface. We demonstrate the efficiency of the method through experiments by using several household objects under normal illuminating condition. Our main objective is to introduce material information in addition to color, shape and other attributes to recognize target objects more robustly in the interactive object recognition framework.