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We propose a new framework for recognizing three-dimensional (3D) objects that needs few reference images. We tackle a key issue of 3D object recognition; the trade-off between the number of reference images and recognition accuracy. We assume that a reference image is a photo of the object from an arbitrary position, typical of those used to exhibit goods on the web. The framework, first, estimates...
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