Seminars & Events

Mathematics and Computer Science Division
"Facial Component Landmark Detection"

DATE: March 10, 2011
TIME: 10:30 AM - 11:30 AM
SPEAKER: Boris Efraty, LANS Postdoc Interviewee
LOCATION: Building 240 Seminar Room 4301, Argonne National Laboratory
HOST: Sven Leyffer

Description:
My presentation will consist of two parts. During the first part, I will present results of work done on multi-scale filamentary analysis of the 3D images. This research focuses on a very specific type of data which is typically very noisy and may contain filamentary faint structures such as line segments and smooth curves. The proposed tools mainly rely on the 3-D Beamlet Transform offering the collection of line integrals along a strategic multi-scale set of line segments. Such tools and methods can be applied in a wide variety of applications which involve 3D imaging. In this work, we focus on applying Beamlet methods for the problem of dim target multi-frame detection and develop specialized tools for this application. We use tools from graph theory and apply them to the special graph generated by the beamlets set.

During the second part of this discussion, I will present an overview of ongoing research in 2D-3D face recognition by the Computational Biomedicine Lab. Specifically, I will be focusing on the methods for facial landmarks detection. I will present a fully automated framework for the facial component-landmarks detection based on multi-resolution isotropic analysis and adaptive bag-of-words descriptors incorporated into a cascade of boosted classifiers. The advantage of our approach is that it has robustness to pose as well as illumination. Our method has a failure rate lower than that of commercial software. Additionally, we demonstrate that using our method for the initialization of a point landmark detector results in performance comparable with that of state-of-the-art methods.

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