CHER-Ob (CULTURAL HERITAGE-Object) is an open-source platform developed in an attempt to enhance the analysis, evaluation, documentation, sharing and management of 3D and 2D visualizations as well as textual and conservation science data.
The development of CHER-Ob is intended to offer a flexible, expandable integrated platform for collaborative cultural heritage research. It is compatible with commonly used imaging data types (2D and 3D images, RTIs, CT) and textual information. CHER-Ob offers an enhanced annotation framework and metadata schema, automatic report/video generation, bookmark, screenshot, searching, sorting and filtering options.
For a quick intro to CHER-Ob please see the quick guide. For a detailed explanation of the features see manual. You can also download the sample projects to further explore the software.
The source code can be found on Github (https://github.com/WeiqiJust/CHER-Ob).
CHER-Ob was developed by the Yale Institute for the Preservation of Cultural Heritage in collaboration with Yale Computer Graphics Group through a generous grant from the Seaver Foundation.
If you have any problem or suggestion related to CHER-Ob, please send an email to email@example.com.
Wang, Zeyu et al. 2018. "CHER-Ob: A Tool for Shared Analysis and Video Dissemination." ACM Journal on Computing and Cultural Heritage, vol 11, issue 4 (2018).
Wang, Zeyu et al. 2017. "An Introductory Video Generator for Disseminating Cultural Heritage Projects." Proceedings of EUROGRAPHICS Workshop on Graphics and Cultural Heritage (2017).
Shi, Weiqi et al. 2016. "CHER-Ob: A Tool for Shared Analysis in Cultural Heritage." Proceedings of EUROGRAPHICS Workshop on Graphics and Cultural Heritage (2016).
Kim, Min H. et al. 2014. "Hyper3D: 3D Graphics Software for Examining Cultural Artifacts." ACM Journal of Computing and Cultural Heritage, vol 7, issue 3 (2014).
Kim, Min H. et al. 2012. "3D Imaging Spectroscopy for Measuring Hyperspectral Patterns on Solid Objects." ACM Transactions on Graphics 31.4 (July 2012). Article 38.
Palma, Gianpaolo et al. 2010. "Dynamic shading enhancement for reflectance transformation imaging." ACM Journal of Computing and Cultural Heritage, vol 3, issue 2 (2010).