An innovative week long mini-course for girls has successfully used video game development as the main motivation by teaching related computer science topics at the same time. Students split their time between creating their own game in the lab and learning about game design, usability, graphics, and artificial intelligence. They became more comfortable with the subject and say they are more likely to pursue computer science in high school because of this course.
Global context descriptors are vectors of additional information appended to an existing descriptor, and are computed as a log-polar histogram of nearby curvature values. These have been proposed in the past to make Scale Invariant Feature Transform (SIFT) matching more robust. This additional information improved matching results especially for images with repetitive features. We propose a similar global context descriptor for Speeded Up Robust Features (SURFs) and Maximally Stable Extremal Regions (MSERs). Our experiments show some improvement for SURFs when using the global context, and much improvement for MSER.
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