Robust regression and outlier detection
Robust regression and outlier detection
Robust image matching under partial occlusion and spatially varying illumination change
Computer Vision and Image Understanding - Special issue on robusst statistical techniques in image understanding
Outlier Modeling in Image Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Parameterized Component Analysis
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
A Robust PCA Algorithm for Building Representations from Panoramic Images
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Expectation-Maximization for a Linear Combination of Gaussians
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
A Comparison of Algorithms for Inference and Learning in Probabilistic Graphical Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Ngongotaha river UDPS experiment: low-cost underwater dynamic stereo photogrammetry
Proceedings of the 27th Conference on Image and Vision Computing New Zealand
| Hi-index | 0.00 |
Although interfering (outlying) details complicate image recognition and retrieval, 'soft masking' of outliers shows considerable promise for robust pixel-by-pixel image matching or reconstruction from principal components (PC). Modeling the differences between two images or between an image and its PC estimate (obtained as a projection onto a subspace of PCs) with a mixed distribution of random noise and outliers, the masks are produced by a simple iterative Expectation-Maximisation based procedure. Experiments with facial images (extracted from the MIT face database) demonstrate the efficiency of this approach.