Making colors worth more than a thousand words
Proceedings of the 2008 ACM symposium on Applied computing
Color in image and video processing: most recent trends and future research directions
Journal on Image and Video Processing - Color in Image and Video Processing
Performance evaluation of local colour invariants
Computer Vision and Image Understanding
Image Matching Using High Dynamic Range Images and Radial Feature Descriptors
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
A new framework for feature descriptor based on SIFT
Pattern Recognition Letters
Estimation of Similarity between Colour Images
Proceedings of the 2008 conference on New Trends in Multimedia and Network Information Systems
A novel color-context descriptor and its applications
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
A framework of context-aware object recognition for smart home
ICOST'07 Proceedings of the 5th international conference on Smart homes and health telematics
A probabilistic framework for tracking deformable soft tissue in minimally invasive surgery
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
A low-dimensional local descriptor incorporating TPS warping for image matching
Image and Vision Computing
A slope K method for image based localization
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
Two novel real-time local visual features for omnidirectional vision
Pattern Recognition
Image histogram constrained SIFT matching
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
Color constancy algorithms for object and face recognition
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part I
Recent advances and trends in visual tracking: A review
Neurocomputing
Robust point matching in HDRI through estimation of illumination distribution
DAGM'11 Proceedings of the 33rd international conference on Pattern recognition
Toward accurate feature detectors performance evaluation
ICVS'11 Proceedings of the 8th international conference on Computer vision systems
Matching between different image domains
PIA'11 Proceedings of the 2011 ISPRS conference on Photogrammetric image analysis
Description of interest regions with center-symmetric local binary patterns
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
Use of color information for keypoints detection and descriptors construction
IScIDE'11 Proceedings of the Second Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Achieving robust alignment for outdoor mixed reality using 3D range data
Proceedings of the 18th ACM symposium on Virtual reality software and technology
LBP-SURF descriptor with color invariant and texture based features for underwater images
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
Combining SIFT and global features for web image classification
PCM'12 Proceedings of the 13th Pacific-Rim conference on Advances in Multimedia Information Processing
An improvement to the SIFT descriptor for image representation and matching
Pattern Recognition Letters
Multi-spectral dataset and its application in saliency detection
Computer Vision and Image Understanding
DeepCAPTCHA: an image CAPTCHA based on depth perception
Proceedings of the 5th ACM Multimedia Systems Conference
Genetic programming as strategy for learning image descriptor operators
Intelligent Data Analysis
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SIFT has been proven to be the most robust local invariant feature descriptor. SIFT is designed mainly for gray images. However, color provides valuable information in object description and matching tasks. Many objects can be misclassified if their color contents are ignored. This paper addresses this problem and proposes a novel colored local invariant feature descriptor. Instead of using the gray space to represent the input image, the proposed approach builds the SIFT descriptors in a color invariant space. The built Colored SIFT (CSIFT) is more robust than the conventional SIFT with respect to color and photometrical variations. The evaluation results support the potential of the proposed approach.