Code and Data

Caleydo - Visualization for Molecular Biology

Caleydo 3.0 

Caleydo is a visualization framework for molecular biology data. It is targeted at analyzing multiple heterogeneous but related tabular datasets (e.g., mRNA expression, copy number status and clinical variables), stratifications or clusters in these datasets and their relationships to biological pathways.

Caleydo is published under the new BSD licence and hosted on github

RhoANA - Dense Automatic Neural Annotation

RhoANA is software for dense automatic annotation of neurons in EM serial sections. It includes a processing pipeline, as well as Mojo, a proofreading and annotation tool.

preprint describing our work is available.

Our code is available on github.

A beta distribution of Mojo 2.0: Connectome Annotation Tool is available along with some test data.

Jeff Lichtman spoke at TEDxCaltech (January 2013) on our efforts to understand the fundamental nature of the brain.

MERL / Princeton Face Detail Database

The MERL / Princeton Face Detail Database is a set of statistics describing the high-frequency facial geometry of over a hundred scanned subjects. These statistics describe facial geometry as a spatially-varying Heeger-Bergen texture. We are making the statistics available to the research community for applications in face analysis and synthesis. Our face model is described in this paper:

A Statistical Model for Synthesis of Detailed Facial Geometry A. Golovinskiy, W. Matusik, H. Pfister, S. Rusinkiewicz, and T. Funkhouser ACM Transactions on Graphics (Proc. SIGGRAPH). 25(3) July 2006.

If you use this data you are implicitly agreeing to our copyright notice. We would appreciate if you cite our paper in any publications that result from the use of this data.

Please visit the project webpage for detailed information and download links.

The MERL / Princeton Face Detail Database is a set of statistics describing the high-frequency facial geometry of over a hundred scanned subjects. These statistics describe facial geometry as a spatially-varying Heeger-Bergen texture.

Skin Reflectance Database

The MERL / ETH Skin Reflectance Database is a set of statistics for parameters of the Torrance-Sparrow and Blinn-Phong analytic BRDF models and face albedo. We derived these statistics from measuring skin reflectance of 149 subjects of varying age, gender, and race. We are making the collected statistics publicly available to the research community for applications in face synthesis and analysis.

For more details about the underlying skin model, the data collection, and the face database statistics, please see the following paper:

"Analysis of Human Faces Using a Measurement-Based Skin Reflectance Model" ACM Transactions on Graphics (TOG), ISSN:0730-0301, Vol. 25, Issue 3, pp. 1013-1024, July 2006 (ACM Press), Weyrich, T.; Matusik, W.; Pfister, H.; Bickel, B.; Donner, C; Tu, C.; McAndless, J.; Lee, J.; Ngan, A.; Jensen, H.W.; Gross, M

Please visit the project webpage for details and downloads.

The MERL / ETH Skin Reflectance Database is a set of statistics for parameters of the Torrance-Sparrow and Blinn-Phong analytic BRDF models and face albedo. We derived these statistics from measuring skin reflectance of 149 subjects of varying age, gender, and race.