Dutch researcher Mirela Tanase has developed a new technique for finding images using search engines. Her technique is based on how the human eye recognises objects. It can increase the success rate of certain search operations for objects from 10 to 70 percent.
Tanase developed two methods for decomposing objects into parts, which are then used to search for similar objects. The first method decomposes the interior of the shape. Humans find this task easy, but a computer often has problems working out how it should decompose an object. The second method works on a range of skeletons and decomposes the contour instead of the interior. Branching points in the skeleton provide an indication as to which pieces of the contour belong to perceptually different parts.
Subsequently Tanase developed a part-based search engine. This finds images by using parts of objects. For example, for the image of a deer the engine can look for the legs of the deer. As well as images of a deer, the results found include other images containing similar contours, for example, elks, horses or elephants.
Dr Mirela Tanase-Avatavului | alfa
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