| 摘要 |
An object location method comprises: analyzing data comprising a plurality of objects wherein each object comprises a plurality of features, and extracting the features S411 from the data; matching features S413 stored in a database with those extracted from the data, and deriving a prediction of the object, wherein each feature extracted from the data provides a vote for at least one prediction; expressing the prediction to be analyzed in a Hough space, wherein the objects to be analyzed are described by n parameters and each parameter defines a dimension of the Hough space, where n is an integer of at least one; providing a constraint implemented by applying a higher weighting to votes S415 which agree with votes from other features than those votes which do not agree with votes from other features; finding local maxima S419 in the Hough space using the weighted votes; and identifying the predictions associated with the local maxima to locate the objects provided in the data. The constraint may be provided by minimizing an entropy function. |
