Skip to content

llorz/PROJ2020_jaws

Repository files navigation

Geometric analysis of shape variability of lower jaws of prehistoric humans

This is an example code for the paper "Geometric analysis of shape variability of lower jaws of prehistoric humans" by Jing Ren, Peter Wonka, Gowtham Harihara, and Maks Ovsjanikov. The paper can be found here.

Dataset

The dataset consists of 10 jaws of prehistoric humans from the anthropologists and we visualize them below. We provide the original dataset and the remodelled dataset where we clean the dataset a bit to remove outliers, fix holes, etc. The analysis is done on both datasets.

Dense correspondences

We use functional map pipeline with BCICP refinement method to compute dense correspondences between every pair of jaws in the dataset. Below we visualize the map via color transfer (the corresponding regions have the same color). The computed maps are saved in the Dataset folder.

See run_compute_maps.m to see the paramters for map computation.

Alternatively, one can try the ZoomOut method to efficiently refine the computed maps.

Shape deformation

We deform on shape into another and use the corresponding transformation to define the shape similarity between the shape pair for shape analysis. See run_nonRigidMatching for more details.

Here is a video that visualizes the shape deformation over iterations.

Other comments

About

code for the paper "Geometric analysis of shape variability of lower jaws of prehistoric humans"

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages