'Rigid parts' presentation slideshows

Learning Models of Shape from 3D Range Data

Learning Models of Shape from 3D Range Data. Dragomir Anguelov Artificial Intelligence Lab Stanford University. Shape Models for Animation. Animation. Biomechanics. F z. M z. M x. F y. F x. M y. [Gollum - Time Warner]. Shape Models for Motion Estimation.

1.03k views • 85 slides

Skin

974 views • 83 slides

Skeletons and Skinning

Skeletons and Skinning. Bones and Skeletons Mesh Skinning Chapter 17 in the textbook. Skeletal Animation. Victoria. Skeletons. Skeleton : a pose-able framework of joints arranged in a tree structure. An invisible armature to manipulate the skin and other geometric data of the character

1.09k views • 71 slides

Skeletons and Skinning

Skeletons and Skinning. Bones and Skeletons Mesh Skinning Chapter 17 in the textbook. Skeletal Animation. Victoria. Skeletons. Skeleton : a pose-able framework of joints arranged in a tree structure. An invisible armature to manipulate the skin and other geometric data of the character

872 views • 71 slides

Alignment of Flexible Protein Structures

Alignment of Flexible Protein Structures. Based on: FlexProt: Alignment of Flexible Protein Structures Without a Pre-definition of Hinge Regions / M. Shatsky, R. Nussinov, H. Wolfson. Presented by: Einat Engel. Introduction. Proteins are flexible structures. Outline. Introduction

782 views • 60 slides

Modeling the Shape of People from 3D Range Scans

Modeling the Shape of People from 3D Range Scans. Dragomir Anguelov AI Lab Stanford University Joint work with Praveen Srinivasan, Hoi-Cheung Pang, Daphne Koller, Sebastian Thrun, James Davis. The Dataset. 70 scans. Cyberware Scans 4 views, ~125k polygons ~65k points each

494 views • 32 slides

Recovering Articulated Object Models from 3D Range Data

Recovering Articulated Object Models from 3D Range Data. Dragomir Anguelov Daphne Koller Hoi-Cheung Pang Praveen Srinivasan Sebastian Thrun Computer Science Dept. Stanford University. Problem overview. Data: Articulated object observed in different configurations

290 views • 15 slides

Recovering Articulated Object Models from 3D Range Data

Recovering Articulated Object Models from 3D Range Data. Dragomir Anguelov Daphne Koller Hoi-Cheung Pang Praveen Srinivasan Sebastian Thrun Computer Science Dept. Stanford University. Problem overview. Data: Articulated object observed in different configurations

160 views • 15 slides