Vision Based Object Recognition and Localization
نویسندگان
چکیده
The goal of this project is to be able to match unaligned images corresponding to different viewpoints of the same object or location. An application of this matching localizing a robot based on what it sees and compare it with previously seen images of the world. We do this by improving upon standard PCA matching algorithms. Instead of directly comparing images, we first extract sub-windows using an interest operator, convert them to polar coordinates, and then compare the amplitude spectrum of the Fourier transforms. This allows us to achieve rotation invariance. Sub-windows are selected using the Harris corner detection algorithm. This work is based of work done by Deeptiman Jugessur and Gregory Dudek in [3], [2], and [4].
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تاریخ انتشار 2007