Statistical models for deformable templates in image and shape analysis

Shape and Texture Based Deformable Models for Facial Image Analysis

In this chapter, we introduce concepts and algorithms of shape and texture based deformable models, more specifically Active Shape Models (ASM), Active Appearance models (AAM) and Morpahble Models, for for facial image analysis. Such models, learned from training examples, allow admissible deformations under statistical constraints on the shape and/or texture of the pattern of interests. As suc...

Statistical Analysis of Deformable Template Models for Medical Image Understanding

Unified Deterministic/Statistical Deformable Models for Cardiac Image Analysis

OF THE DISSERTATION Unified Deterministic/Statistical Deformable Models for Cardiac Image Analysis by Sharath Kumar Gopal Doctor of Philosophy in Computer Science University of California, Los Angeles, 2016 Professor Demetri Terzopoulos, Chair This thesis proposes to fully automate the shape and motion reconstruction of non-rigid objects from visual information using a unified deterministic/sta...

Deformable Surface Matching for Statistical Shape Analysis

We propose a deformable surface model for matching anatomically homologous points for a specific region of interest (ROI), based on both surrounding intensity structures and shape characteristics. The initial estimate of the deformable mesh for the individual ROI was derived by transforming the template mesh to the individual image space using nonlinear warping. For the deformable surface model...

Applying deformable templates for cell image segmentation

This paper presents an automatic method, based on the deformable template approach, for cell image segmentation under severe noise conditions. We de"ne a new methodology, dividing the process into three parts: (1) obtain evidence from the image about the location of the cells; (2) use this evidence to calculate an elliptical approximation of these locations; (3) re"ne cell boundaries using loca...