Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Modeling Light Reflection for Computer Color Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Polarization-Based Material Classification from Specular Reflection
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Understanding of surface reflections in computer vision by color and multiple views
Understanding of surface reflections in computer vision by color and multiple views
Detection of specularity using colour and multiple views
Image and Vision Computing - Special issue: 2nd European Conference on Computer Vision
Generalization of the Lambertian model and implications for machine vision
International Journal of Computer Vision
International Journal of Computer Vision
Separation of Reflection Components Using Color and Polarization
International Journal of Computer Vision
Improved Diffuse Reflection Models for Computer Vision
International Journal of Computer Vision
Radiometric CCD camera calibration and noise estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recovering Shading from Color Images
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Diffuse-Specular Separation and Depth Recovery from Image Sequences
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Color Vision: Representing Material Categories
Color Vision: Representing Material Categories
Polarization-based Inverse Rendering from a Single View
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Separating Reflection Components Based on Chromaticity and Noise Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Toward a 3D Multispectral Scanner: An Application to Multimedia
IEEE MultiMedia
Mixture of Spherical Distributions for Single-View Relighting
IEEE Transactions on Pattern Analysis and Machine Intelligence
Chromaticity-based separation of reflection components in a single image
Pattern Recognition
Fusion of the complementary Discrete Cosine Features in the YIQ color space for face recognition
Computer Vision and Image Understanding
Accurately estimating reflectance parameters for color and gloss reproduction
Computer Vision and Image Understanding
Removal of Specular Reflection Component Using Multi-view Images and 3D Object Model
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
Enhancement and Registration Schemes for Matching Conjunctival Vasculature
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Principles of Appearance Acquisition and Representation
Foundations and Trends® in Computer Graphics and Vision
ICA color space for pattern recognition
IEEE Transactions on Neural Networks
International Journal of Computer Vision
Bayesian Reflectance Component Separation
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
International Journal of Computer Vision
Dichromatic reflection separation from a single image
EMMCVPR'07 Proceedings of the 6th international conference on Energy minimization methods in computer vision and pattern recognition
Real-time specular highlight removal using bilateral filtering
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Rapid classification of specular and diffuse reflection from image velocities
Pattern Recognition
A new photographing apparatus for skin maps of human face rendering
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part II
Specularity removal in images and videos: a PDE approach
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Highlight microdisparity for improved gloss depiction
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Surface reflectance and normal estimation from photometric stereo
Computer Vision and Image Understanding
Specular highlight removal using reflection component separation and joint bilateral filtering
IScIDE'11 Proceedings of the Second Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Integration of 3D and multispectral data for cultural heritage applications: Survey and perspectives
Image and Vision Computing
A new projection space for separation of specular-diffuse reflection components in color images
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part IV
An optimisation approach to the recovery of reflection parameters from a single hyperspectral image
Computer Vision and Image Understanding
Hi-index | 0.14 |
In inhomogeneous objects, highlights are linear combinations of diffuse and specular reflection components. A number of methods have been proposed to separate or decompose these two components. To our knowledge, all methods that use a single input image require explicit color segmentation to deal with multicolored surfaces. Unfortunately, for complex textured images, current color segmentation algorithms are still problematic to segment correctly. Consequently, a method without explicit color segmentation becomes indispensable and this paper presents such a method. The method is based solely on colors, particularly chromaticity, without requiring any geometrical information. One of the basic ideas is to iteratively compare the intensity logarithmic differentiation of an input image and its specular-free image. A specular-free image is an image that has exactly the same geometrical profile as the diffuse component of the input image and that can be generated by shifting each pixel's intensity and maximum chromaticity nonlinearly. Unlike existing methods using a single image, all processes in the proposed method are done locally, involving a maximum of only two neighboring pixels. This local operation is useful for handling textured objects with complex multicolored scenes. Evaluations by comparison with the results of polarizing filters demonstrate the effectiveness of the proposed method.