A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bridging the paper and electronic worlds: the paper user interface
INTERCHI '93 Proceedings of the INTERCHI '93 conference on Human factors in computing systems
Linking and messaging from real paper in the Paper PDA
Proceedings of the 12th annual ACM symposium on User interface software and technology
Web-Based Integration of Printed and Digital Information
Proceedings of the VLDB 2002 Workshop EEXTT and CAiSE 2002 Workshop DTWeb on Efficiency and Effectiveness of XML Tools and Techniques and Data Integration over the Web-Revised Papers
Marked-up maps: combining paper maps and electronic information resources
Personal and Ubiquitous Computing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Digitizing paper forms with mobile imaging technologies
Proceedings of the 2nd ACM Symposium on Computing for Development
Open data kit 2.0: expanding and refining information services for developing regions
Proceedings of the 14th Workshop on Mobile Computing Systems and Applications
Collabmap: crowdsourcing maps for emergency planning
Proceedings of the 5th Annual ACM Web Science Conference
Integrating ODK Scan into the community health worker supply chain in Mozambique
Proceedings of the Sixth International Conference on Information and Communication Technologies and Development: Full Papers - Volume 1
Improving form-based data entry with image snippets
Proceedings of Graphics Interface 2013
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Comprehensive spatial knowledge is vital for making good planning decisions - whether it be for planning infrastructure, public projects or addressing other community needs. Often it is the local residents themselves who have the most current and accurate understanding of the uses and condition of any place. Including diverse voices is difficult in the planning process, as many local groups do not have access to the same technologies as larger institutional actors. To address their needs, we have developed Local Ground: a tool that allows local residents to document their personal knowledge of places using simple bar-coded paper maps, computer vision techniques and free, publicly available mapping and charting tools. Users annotate paper maps using simple pens, markers and stamps. These maps are scanned and aggregated online, where they can be analyzed and overlaid on information obtained from other knowledge sources, allowing local perspectives to influence planning decisions. We tested Local Ground with a group of high school youth involved in an urban revitalization project in a low-income neighborhood in Richmond, California. Students and teachers found our tools to be portable, fun, collaborative, and easy to learn. In this paper we describe the Local Ground toolkit, including its strengths as a geo-spatial data collection and dissemination tool, and some findings obtained from our initial field pilot in Richmond.