Daniel Scharstein (Computer Science) has been awarded a grant through the National Science Foundation’s RUI mechanism for his project titled Image Matching in the Wild. The project aims to improve the way that stereo-vision and optical-flow algorithms work in the presence of common challenges such as reflective surfaces, lighting changes, imperfect calibration, and unknown acquisition conditions. The award will fund materials and supplies for three summers of research, conference travel, and research stipends for six undergraduate students.

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