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In this paper we present CMUcam3, a low-cost, open source, embedded computer vision platform. The CMUcam3 is the third generation of the CMUcam system and is designed to provide a flexible and easy to use open source development environment along with a more powerful hardware platform. The goal of the system is to provide simple vision capabilities to small(More)
In an attempt to solve as much of the AAAI Robot Challenge as possible, five research institutions representing academia, industry and government, integrated their research in a single robot named GRACE.Thispaperdescribesthisfirstyeareffortbythe GRACE team, and describes not only the various techniqueseachparticipantbroughttoGRACE,butalso(More)
Similarity measurement is a critical component in content-based image retrieval systems, and learning a good distance metric can significantly improve retrieval performance. However, despite extensive study, there are several major shortcomings with the existing approaches for distance metric learning that can significantly affect their application to(More)
The success of cloud computing can lead to large, centralized collections of virtual machine~(VM) images. The ability to interactively search these VM images at a high semantic level emerges as an important capability. This paper examines the opportunities and challenges in creating such a search capability, and presents early evidence of its feasibility.
Although widely touted as a replacement for glass slides and microscopes in pathology, digital slides present major challenges in data storage, transmission, processing and interoperability. Since no universal data format is in widespread use for these images today, each vendor defines its own proprietary data formats, analysis tools, viewers and software(More)
We show how query-specific content-based computation can be used for interactive search when a pre-computed index is not available. Rather than text or numeric data, we focus on complex data such as digital photographs and medical images. We describe a system that can perform such interactive searches on stored data as well as live Web data. The system is(More)
This paper presents an automated, online approach to anomaly detection in high-content screening assays for pharmaceutical research. Online detection of anomalies is attractive because it offers the possibility of immediate corrective action, early termination, and redesign of assays that may require many hours or days to execute. The proposed approach(More)
In the field of lipid research, the measurement of adipocyte size is an important but difficult problem. We describe an imaging-based solution that combines precise investigator control with semi-automated quantitation. By using unfixed live cells, we avoid many complications that arise in trying to isolate individual adipocytes. Instead, we image a small(More)
In an attempt to solve as much of the AAAI Robot Challenge as possible, five research institutions representing academia, industry and government, integrated their research on a pair of robots named GRACE and GEORGE. This paper describes the second year effort by the GRACE team, the various techniques each participant brought to GRACE, and the integration(More)