Automatic cell identification and segmentation are important steps for medical automation to greatly reduce human labors. The paper used a statistical model solving the practical issues in this problem, including construction of a training set, cell shape generalization, deformable model building, cell searching and segmentation. Practical experiments prove the validity of the proposed scheme. ...

The goal of visual modeling research is to develop mathematical models and associated algorithms for the analysis and synthesis of visual information. Image analysis and synthesis characterize the domains of computer vision and computer graphics, respectively. For nearly three decades, the vision and graphics fields have been developing almost entirely independently—this despite the fact that, ...

Current state-of-the-art object detection methods, like the Deformable Part Model(DPM)[3] method, have achieved remarkable performance in detecting objects. However, the annotation collecting process is very costly and it won’t scale as the number of categories increases. In this work, we make use of the information provided by part models of already trained deformable part models to decrease t...

Surface curvature and its derivative are used in a number of applications including non-photorealistic line drawing techniques. CPU algorithms for estimating curvature are a reasonable choice for static models, but curvature estimates for deformable models must be recomputed every frame. For many deformable models, for example those using vertex blending, the deformed model is only ever present...

We explore the application of genetic algorithms (GA) to deformable models through the proposition of a novel method for medical image segmentation that combines GA with non-convex, localized, medial-based shape statistics. We replace the more typical gradient descent optimizer used in deformable models with GA, and the convex, implicit, global shape statistics with non-convex, explicit, locali...

This paper presents an accurate, very fast approach for the deformations of 2D physically based shape models representing open and closed curves. The introduced models overcome the main shortcoming of other deformable models, i.e. computation time. The approach relies on the determination of explicit deformation governing equations, that involve neither eigenvalue decomposition nor any other co...

Augmented Reality (AR) systems add visual information to the world by using advanced display techniques. The advances in miniaturization and reduced costs make some of these systems feasible for applications in a wide set of fields. We present a potential component of the cyber infrastructure for the operating room of the future; a distributed AR based softwarehardware system that allows real-t...

Our approach integrates three mechanisms needed to model and animate deformable objects: controlling mechanisms, geometric surface deformation, and mesh refinement. Most approaches focus either modeling physically correct behavior or alternative representations for deformable models. This results in a set of method specific algorithms that best represents a particular class of deformable object...

Interactive environments for dynamically deforming objects play an important role in surgery simulation and entertainment technology. These environments require fast deformable models and very efficient collision handling techniques. While collision detection for rigid bodies is well-investigated, collision detection for deformable objects introduces additional challenging problems. This paper ...

With the increasing performances of the graphics hardware, virtual reality applications are reaching a new level of realism. It is now possible to animate entire crowds of virtual avatars, or to display in real-time highly realistic deformable characters. This new type of applications requires that characters are deformed, either to generate a large number of individuals for creating a crowd, o...