Robust regression and outlier detection
Robust regression and outlier detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
Robust incremental optical flow
Robust incremental optical flow
A maximum likelihood stereo algorithm
Computer Vision and Image Understanding
Ordinal Measures for Image Correspondence
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM Computing Surveys (CSUR)
Computer and Robot Vision
Learning and Feature Selection in Stereo Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Color Histogram Indexing for Quadratic Form Distance Functions
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICIAP '97 Proceedings of the 9th International Conference on Image Analysis and Processing-Volume II
CANDID: Comparison Algorithm for Navigating Digital Image Databases
Proceedings of the Seventh International Working Conference on Scientific and Statistical Database Management
Efficient Stereo with Multiple Windowing
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Which Ranking Metric Is Optimal? With Applications in Image Retrieval and Stereo Matching
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Stereo Correspondence with Compact Windows via Minimum Ratio Cycle
IEEE Transactions on Pattern Analysis and Machine Intelligence
CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
Improving similarity measures of histograms using smoothing projections
Pattern Recognition Letters
Facial expression recognition from video sequences: temporal and static modeling
Computer Vision and Image Understanding - Special issue on Face recognition
Robust Histogram Construction from Color Invariants for Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Similarity between Euclidean and cosine angle distance for nearest neighbor queries
Proceedings of the 2004 ACM symposium on Applied computing
A similarity measure based on causal neighbours and mutual information
Design and application of hybrid intelligent systems
The analysis and applications of adaptive-binning color histograms
Computer Vision and Image Understanding - Special issue on color for image indexing and retrieval
Content-based multimedia information retrieval: State of the art and challenges
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
The Bayes Decision Rule Induced Similarity Measures
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optimizing multi-graph learning: towards a unified video annotation scheme
Proceedings of the 15th international conference on Multimedia
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
Guest Editorial: Similarity Matching in Computer Vision and Multimedia
Computer Vision and Image Understanding
Exploring multimedia in a keyword space
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Bounded coordinate system indexing for real-time video clip search
ACM Transactions on Information Systems (TOIS)
Approximate Bayesian methods for kernel-based object tracking
Computer Vision and Image Understanding
Unified video annotation via multigraph learning
IEEE Transactions on Circuits and Systems for Video Technology
Beyond distance measurement: constructing neighborhood similarity for video annotation
IEEE Transactions on Multimedia - Special section on communities and media computing
Fast frequency template matching using higher order statistics
IEEE Transactions on Image Processing
Human-computer intelligent interaction: a survey
HCI'07 Proceedings of the 2007 IEEE international conference on Human-computer interaction
Interactive feedback for video tracking using a hybrid maximum likelihood similarity measure
HCI'07 Proceedings of the 2007 IEEE international conference on Human-computer interaction
Visual information retrieval: future directions and grand challenges
VISUAL'07 Proceedings of the 9th international conference on Advances in visual information systems
Fuzzy C-mean algorithm with morphology similarity distance
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 3
Real-time facial feature detection by statistical template matching
SSIP'05 Proceedings of the 5th WSEAS international conference on Signal, speech and image processing
Extracting discriminative color features for face recognition
Pattern Recognition Letters
Structure features for content-based image retrieval
PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
Social image annotation via cross-domain subspace learning
Multimedia Tools and Applications
An efficient continuous tracking system in real-time surveillance application
Journal of Network and Computer Applications
What are the distance metrics for local features?
Proceedings of the 21st ACM international conference on Multimedia
Linear reconstruction measure steered nearest neighbor classification framework
Pattern Recognition
Hi-index | 0.14 |
In many computer vision algorithms, a metric or similarity measure is used to determine the distance between two features. The Euclidean or SSD (sum of the squared differences) metric is prevalent and justified from a maximum likelihood perspective when the additive noise distribution is Gaussian. Based on real noise distributions measured from international test sets, we have found that the Gaussian noise distribution assumption is often invalid. This implies that other metrics, which have distributions closer to the real noise distribution, should be used. In this paper, we consider three different applications: content-based retrieval in image databases, stereo matching, and motion tracking. In each of them, we experiment with different modeling functions for the noise distribution and compute the accuracy of the methods using the corresponding distance measures. In our experiments, we compared the SSD metric, the SAD (sum of the absolute differences) metric, the Cauchy metric, and the Kullback relative information. For several algorithms from the research literature which used the SSD or SAD, we showed that greater accuracy could be obtained by using the Cauchy metric instead.