Non-Rigid Object Alignment with a Mismatch Template Based on Exhaustive Local Search

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 o...

• Type: Conference
• Year: 2007
• Where: ICCV
• Authors: Yang Wang, Simon Lucey, Jeffrey F. Cohn
• Keywords: Computer Vision, ICCV 2007, Non-rigid Object Alignment, Patch-based Method, Single Appearance Template