Robust regression and outlier detection
Robust regression and outlier detection
MLESAC: a new robust estimator with application to estimating image geometry
Computer Vision and Image Understanding - Special issue on robusst statistical techniques in image understanding
Character Recognition in Bookshelf Images by Automatic Template Selection
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
High-quality motion deblurring from a single image
ACM SIGGRAPH 2008 papers
Building book inventories using smartphones
Proceedings of the international conference on Multimedia
Combining image and text features: a hybrid approach to mobile book spine recognition
MM '11 Proceedings of the 19th ACM international conference on Multimedia
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In this paper, we present a framework to recognize books on bookshelves by reading its title on book spines. The framework consists of control and recognition module. Control module moves camera to suitable positions for image capturing while recognition one processes taken images to know which books are shelved on the shelves. Firstly, images are captured from random position. Secondly, we separate it into book and non-book regions. Then, books in book region are segmented by using line segment and MSAC based dominant vanishing point (DVP). After book verification stage, adaptive Otsu's thresholding is employed to extract book titles and ready for recognition of next stage. In case recognizing unsuccessfully, we feedback control information to control module to adjust camera location and repeat the above procedure.