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We propose a shape model fitting algorithm that uses linear programming optimization. Most shape model fitting approaches (such as ASM, AAM) are based on gradient-descent-like local search optimization and usually suffer from local minima. In contrast, linear programming (LP) techniques achieve globally optimal solution for linear problems. In [1], a linear programming scheme based on successive convexification...
An elastic graph matching algorithm using biologically inspired features is proposed for the recognition of hand postures. Each node in the graph is labeled using an image feature extracted using the computational model of the ventral stream of visual cortex. The graph nodes are assigned to geometrically significant positions in the hand image, and, the model graphs are created. Bunch graph method...
In this paper, we present a graph based face representation for efficient age invariant face recognition. The graph contains information on the appearance and geometry of facial feature points. An age model is learned for each individual and a graph space is built using the set of feature descriptors extracted from each face image. A two-stage method for matching is developed, where the first stage...
This paper presents a graphical model for de-formable face matching and landmark localization under an unknown non-rigid warp. The proposed model learns and combines statistics of both appearance and shape variations of facial images (learnt purely from a set of frontal training images) in a complex objective function in an unsupervised manner. Local and global shape variations are included in the...
3D model matching has been widely studied in computer vision, graphics and robotics. While there is much success made in the matching of natural objects, most of these approaches consider smooth surfaces and are not suitable for computer aided design (CAD) models because of their complex topology and singular structures. This paper presents a novel spectral approach for the 3D CAD model matching in...
This paper describes using 3D chain expressions for encoding unit-width curve skeletons and measuring shape dissimilarity. By integrating a robust skeletonization technique with 3D chain coding, the proposed algorithm can compare not only the skeleton topology but also the curvature of skeleton segments. Robustness of the search and potential for retrieving similar objects is studied and shown to...
Reeb graph is a graph which can represents the skeletal and topological structure of a 3D shape, and multiresolutional Reeb graph as an improvement of Reeb graph which include a series of Reeb graphs for an object at various levels of detail, is more efficient than original Reeb graph and so widely used in topology based searching fields. This paper proposes a improved algorithm for matching MRGs.
We present an approach to viewpoint invariant hand detection which merges model based representation of shape and exact curve matching with graph search in order to achieve a very low false alarm rate system able to work in real time. The method proposed makes few assumptions on the articulated object nature and can be applied to recognize other articulated objects as well.
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