A calligram is an arrangement of words or letters that creates a visual image, and a
compact calligram
fits one word into a 2D shape. We introduce a fully automatic method for the generation of
legible compact calligrams
which provides a balance between conveying the input shape, legibility, and aesthetics. Our method has three key elements: a path generation step which computes a global layout path suitable for embedding the input word; an alignment step to place the letters so as to achieve feature alignment between letter and shape protrusions while maintaining word legibility; and a final deformation step which deforms the letters to fit the shape while balancing fit against letter legibility. As letter legibility is critical to the quality of compact calligrams, we conduct a large-scale crowd-sourced study on the impact of different letter deformations on legibility and use the results to train a letter legibility measure which guides the letter deformation. We show automatically generated calligrams on an extensive set of word-image combinations. The legibility and overall quality of the calligrams are evaluated and compared, via user studies, to those produced by human creators, including a professional artist, and existing works.
Virtual simulation systems present a cost effective way of training the mariners to navigate a ship in a realistic maritime environment. To offer a better training session, a need arises to model other tools and components as a part of the virtual simulation system, such as radar, sonar and telescope, that are used to navigate a vessel in the real world. Taking a light-weighted approach, we developed a virtual radar coverage for the Vidusayura virtual maritime learning environment. It simulates an actual marine radar, which gathers information of its surroundings from the virtual environment with which a trainee naval officer interacts. The impact and the effectiveness of the virtual radar system, in terms of the trainee, is also analyzed against a real radar simulation system.
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