CIPA Tutorials

CIPA TUTORIAL n°1 (Sept. 1-2, 2013)
Location: INSA Strasbourg, France
TUTORIAL 1 has unfortunately been canceled
Dense Point clouds from images for Cultural Heritage Documentation: theorical and practical aspects

Sunday 01/09 ; 14h – 18h (R. Heno; CIPA board member)

Theoretical bases, potential and limits, equipment, rules to acquire relevant images

 Monday 02/09 ; 08h – 15h (L. De Luca and E. Alby, architects)

Presentation of the tools (Micmac, pmvs), hardware configuration, user interfaces, examples

Individual Registration fee for this tutorial is 225 €.

Contact persons for registration:

Glenn.ducouret (@)


Download the tutorial summary

In the mid-2000's, with the convergence of powerful computers, high-quality images and efficient algorithms for tie point matching, such as Scale-Invariant Feature Transform - SIFT (Lowe, 2004) and dense matching, e.g. SGM - Semi-Global Matching (Hirschmüller 2008), new image-based methods were developed, able to automatically produce dense 3D point clouds, with realistic and precise colors.

Open source and free software appeared little by little on the web, such as “Micmac”, a multi-resolution and optimization-based image matching software designed at IGN France (Pierrot-Deseilligny, Paparoditis 2006), and PMVS (Furukawa, Ponce 2010; PMVS 2012). Automatic tools to register the images were also produced, like Apero (Pierrot-Deseilligny, Cléry, 2011), and Bundler (Snavely et al. 2006).

These fully automatic programs, running on standard computers, have lately started to reach new communities of users such as architects, archaeologists and geologists, who used to be reluctant to employ photogrammetry for their work, because of the high level of skills required combined with the dissuasive price of the equipment.

These tutorials are meant to look back over the potential and the limits of those new image-based methods to produce 3D point clouds, in the context of Cultural Heritage Documentation.


Hirschmüller, H., 2008. Stereo Processing by Semiglobal Matching and Mutual Information, IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(2): 328-341.

Lowe, D (2004). Distinctive Image Features from Scale- Invariant Keypoints. International Journal of Computer Vision, 60(2):91-110.

Pierrot-Deseilligny M., Paparoditis N. (2006): A multiresolution and optimization-based image matching approach: An application to surface reconstruction from SPOT5-HRS stereo imagery. IAPRS, Vol. 36 (1/W41).

Pierrot-Deseilligny, M., Cléry, I., (2011). APERO, an Open Source Bundle Adjustment Software for Automatic Calibration and Orientation of a Set of Images. Proceedings of the ISPRS Commission V Symposium, Image Engineering and Vision Metrology, Trento, Italy.

Snavely N., Seitz S.M., Szeliski R. (2006): Photo tourism: Exploring photo collections in 3D, ACM Transactions on Graphics (SIGGRAPH Proceedings), 25(3), 835-846.

(Sept. 2, 2013)
Location: INSA Strasbourg, France

The ARCHES Heritage Inventory and Management System: system capabilities and deployment approaches

Monday 02/09 ; 10h – 15h

Aims of the Arches system

Overview of Arches system capabilities

Creating and managing data in the Arches system

Searching for and reporting data from the Arches system

Status of development and roadmap

Arches deployment scenarios

Cost : no charge 

Contact persons for registration:

Download the tutorial summary

This tutorial aims to provide an overview of the Arches system capabilities, and provide information on creating and managing data, searching for and reporting on data, and approaches to deployment

Pierre Grussenmeyer,
Jul 2, 2013, 11:09 AM
Pierre Grussenmeyer,
Apr 12, 2013, 2:30 PM