发明名称 |
CONTOUR-BASED CLASSIFICATION OF OBJECTS |
摘要 |
Described herein is a contour-based method of classifying an item, such as a physical object or pattern. In an example method, a one-dimensional (1D) contour signal is received for an object. The one-dimensional contour signal comprises a series of 1D or multi-dimensional data points (e.g. 3D data points) that represent the contour (or outline of a silhouette) of the object. This 1D contour can be unwrapped to form a line, unlike for example, a two-dimensional signal such as an image. Some or all of the data points in the 1D contour signal are individually classified using a classifier which uses contour-based features. The individual classifications are then aggregated to classify the object and/or part(s) thereof. In various examples, the object is an object depicted in an image. |
申请公布号 |
US2015199592(A1) |
申请公布日期 |
2015.07.16 |
申请号 |
US201414154368 |
申请日期 |
2014.01.14 |
申请人 |
Microsoft Corporation |
发明人 |
Kim David;Keskin Cem;Shotton Jamie Daniel Joseph;Izadi Shahram |
分类号 |
G06K9/62;G06K9/46 |
主分类号 |
G06K9/62 |
代理机构 |
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代理人 |
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主权项 |
1. A method of classifying an item, the method comprising:
receiving at a computing-based device a one-dimensional (1D) contour signal for the item, the one-dimensional contour signal comprising a series of data points that defines the item; applying a classifier to at least a portion of the data points to classify each data point of the portion of data points using contour-based features; and aggregating the classification of the portion of data points to classify the item. |
地址 |
Redmond WA US |