A physical approach to color image understanding
International Journal of Computer Vision
Constraining Object Features Using a Polarization Reflectance Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detection of specularity using colour and multiple views
Image and Vision Computing - Special issue: 2nd European Conference on Computer Vision
Recovering high dynamic range radiance maps from photographs
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Occlusion Detectable Stereo -- Occlusion Patterns in Camera Matrix
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Stereo in the presence of specular reflection
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Application of majority voting to pattern recognition: an analysis of its behavior and performance
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Separating Reflection Components Based on Chromaticity and Noise Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Separating Reflection Components of Textured Surfaces Using a Single Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
Extracting layers and analyzing their specular properties using epipolar-plane-image analysis
Computer Vision and Image Understanding
Detecting and removing specularities in facial images
Computer Vision and Image Understanding
Shape and View Independent Reflectance Map from Multiple Views
International Journal of Computer Vision
Stereo for Image-Based Rendering using Image Over-Segmentation
International Journal of Computer Vision
Foundations and Trends® in Computer Graphics and Vision
Color Subspaces as Photometric Invariants
International Journal of Computer Vision
Separating corneal reflections for illumination estimation
Neurocomputing
Estimation of multiple directional illuminants from a single image
Image and Vision Computing
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
Detecting and removing specularities in facial images
Computer Vision and Image Understanding
Improved color acquisition and mapping on 3D models via flash-based photography
Journal on Computing and Cultural Heritage (JOCCH)
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
Automated extraction of PCB components based on specularity using layered illumination
Journal of Intelligent Manufacturing
A new inpainting method for highlights elimination by colour morphology
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
Correspondence search in the presence of specular highlights using specular-free two-band images
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
Surface reflectance and normal estimation from photometric stereo
Computer Vision and Image Understanding
Artifacts removal for color projection on 3D models using flash light
VAST'09 Proceedings of the 10th International conference on Virtual Reality, Archaeology and Cultural Heritage
Removing shadows for color projection using sun position estimation
VAST'10 Proceedings of the 11th International conference on Virtual Reality, Archaeology and Cultural Heritage
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
A view-invariant and anti-reflection algorithm for car body extraction and color classification
Multimedia Tools and Applications
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Specular reflections present difficulties for many areas of computer vision such as stereo and segmentation. To separate specular and diffuse reflection components, previous approaches generally require accurate segmentation, regionally uniform reflectance or structured lighting. To overcome these limiting assumptions, we propose a method based on color analysis and multibaseline stereo that simultaneously estimates the separation and the true depth of specular reflections. First, pixels with a specular component are detected by a novel form of color histogram differencing that utilizes the epipolar constraint. This process uses relevant data from all the stereo images for robustness, and addresses the problem of color occlusions. Based on the Lambertian model of diffuse reflectance, stereo correspondence is then employed to compute for specular pixels their corresponding diffuse components in other views. The results of color-based detection aid the stereo correspondence, which determines both separation and true depth of specular pixels. Our approach integrates color analysis and multibaseline stereo in a synergistic manner to yield accurate separation and depth, as demonstrated by our results on synthetic and real image sequences.