Authors:
Seyed Mahdi Javadi
;
Yongmin Li
and
Xiaohui Liu
Affiliation:
Brunel University, United Kingdom
Keyword(s):
Texture Analysis, Object Recognition, Lambert Model, Shiny Surface, Matt Texture, Glass and Water Detection.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Color and Texture Analyses
;
Computer Vision, Visualization and Computer Graphics
;
Enterprise Information Systems
;
Features Extraction
;
Human and Computer Interaction
;
Human-Computer Interaction
;
Image and Video Analysis
;
Image Formation and Preprocessing
;
Image Formation, Acquisition Devices and Sensors
;
Image Generation Pipeline: Algorithms and Techniques
;
Motion, Tracking and Stereo Vision
;
Shape Representation and Matching
;
Video Surveillance and Event Detection
Abstract:
This paper describes a novel method to identify and distinguish shiny and glossy materials in videos automatically.
The proposed solution works by analyzing the logarithm of chromaticity of sample pixels from various
materials over a period of time to differentiate between shiny and matt textures. The Lambertian materials
have different reflectance model and the distribution of their chromaticity is not the same as non-Lambertian
texture. We will use this to detect shiny materials. This system has many application in texture and object
recognition, water leakage and oil spillage detection systems.