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Non-Rigid Object Alignment with a Mismatch Template Based on Exhaustive Local Search (2007)
Content Provider | CiteSeerX |
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Author | Wang, Yang |
Abstract | Non-rigid object alignment is especially challenging when only a single appearance template is available and target and template images fail to match. Two sources of discrepancy between target and template are changes in illumination and non-rigid motion. Because most existing methods rely on a holistic representation for the alignment process, they require multiple training images to capture appearance variance. We developed a patch-based method that requires only a single appearance template of the object. Specifically, we fit the patch-based face model to an unseen image using an exhaustive local search and constrain the local warp updates within a global warping space. Our approach is not limited to intensity values or gradients, and therefore offers a natural framework to integrate multiple local features, such as filter responses, to increase robustness to large initialization error, illumination changes and non-rigid deformations. This approach was evaluated experimentally on more than 100 subjects for multiple illumination conditions and facial expressions. In all the experiments, our patch-based method outperforms the holistic gradient descent method in terms of accuracy and robustness of feature alignment and image registration. |
File Format | |
Publisher Date | 2007-01-01 |
Access Restriction | Open |
Subject Keyword | Non-rigid Object Alignment Exhaustive Local Search Mismatch Template Single Appearance Template Patch-based Method Local Warp Update Non-rigid Motion Large Initialization Error Multiple Training Image Global Warping Space Feature Alignment Alignment Process Patch-based Face Model Multiple Illumination Condition Template Image Illumination Change Holistic Representation Holistic Gradient Descent Method Facial Expression Multiple Local Feature Image Registration Filter Response Natural Framework Appearance Variance Unseen Image Non-rigid Deformation |
Content Type | Text |