Three Dimensional Object Recognition From Single Two Dimensional Images
Three Dimensional Object Recognition From Single Two Dimensional Images
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In our eReader you can find the full English version of the book. Read Three Dimensional Object Recognition From Single Two Dimensional Images Online - link to read the book on full screen. Our eReader also allows you to upload and read Pdf, Txt, ePub and fb2 books. In the Mini eReder on the page below you can quickly view all pages of the book - Read Book Three Dimensional Object Recognition From Single Two Dimensional Images
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In order to minimize the search time, we would like to order our consid- eration of hypotheses according to decreasing values of Pk/^k, where Pjt is the probability that a particular hypothesis for the presence of object k is correct, and Wk is the amount of work required to verify or refute it. In general, increased complexity of a grouping will lead to fewer potential matches against different object features, and therefore will increase the probability Pk that any particular match is correct.... However, this probability is also very dependent upon the particular set of objects that are being considered, since some features will function more effectively to discriminate among one particular set of objects than in another set. The most effective way to determine the optimal values of Pk for each potential match would be through the use of a learning procedure in which the ax:tual probability values are refined through experience in performing the recognition task. These probability adjustments would in essence be strengthening or weakening as- sociations between pairticular image features and particular objects.
What to read after Three Dimensional Object Recognition From Single Two Dimensional Images?
You can find similar books in the "Read Also" column, or choose other free books by David G Lowe to read onlineMoreLess
To quickly assess the difficulty of the text, read a short excerpt:
In order to minimize the search time, we would like to order our consid- eration of hypotheses according to decreasing values of Pk/^k, where Pjt is the probability that a particular hypothesis for the presence of object k is correct, and Wk is the amount of work required to verify or refute it. In general, increased complexity of a grouping will lead to fewer potential matches against different object features, and therefore will increase the probability Pk that any particular match is correct.... However, this probability is also very dependent upon the particular set of objects that are being considered, since some features will function more effectively to discriminate among one particular set of objects than in another set. The most effective way to determine the optimal values of Pk for each potential match would be through the use of a learning procedure in which the ax:tual probability values are refined through experience in performing the recognition task. These probability adjustments would in essence be strengthening or weakening as- sociations between pairticular image features and particular objects.
What to read after Three Dimensional Object Recognition From Single Two Dimensional Images?
You can find similar books in the "Read Also" column, or choose other free books by David G Lowe to read onlineMoreLess
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