So-BRIEF: Fast recognition of rectangular objects
Much research has been conducted in computer vision about feature extraction. In recent years, binary descriptors have been proved to be extremely fast and yet highly discriminative. So-BRIEF aims at bringing the benefits of this kind of local descriptors to the recognition of rectangular objects, such as books, CD covers, boxes, paints, boards and cell phones. It takes advantage of the special geometry of these objects to recognize very efficiently an image, even rotated or distorted. Our main contribution is this new descriptor along with the search for the optimal values of parameters leading to an extremely fast image matching process. We compare it to 2D-DCT based description techniques. This paper also encompasses a discussion about a new method for efficient detection of rectangular structures.