Analysis of Intensity and Range Image Sequences Using Adaptive-Size Meshes

摘要: Abstract This paper presents a new technique for reconstructing and analyzing sequential images using adaptive-size physically based models. In this method, the mesh size increases or decreases dynamically during reconstruction to locate nodes near surface areas of interest (such as high curvature points) optimize fitting error. Image sequences range intensity data are used demonstrate power shape estimation. Since consecutive frames often similar, image can be efficiently reconstructed by meshes. addition, priori information about nonrigidity included so that model deforms fit moving points while preserving some basic nonrigid constraints (e.g., isometry conformality). Several The accuracy is estimated in order performance algorithm. Implementation proposed algorithm with without isometric/conformal presented. tracking corresponding meshes on face also Performance derived algorithms demonstrated simulated deforming ellipsoidal bending planar shapes. Then applied real volumetric temporal left ventricular data.