Methods and systems for 3D object detection using learning
In a method of 3D object detection, a learning procedure is used for feature selection from a feature set based on an annotated image-volume database, generating a set of selected features. A classifier is built using a classification scheme to distinguish between an object location and a non-object location and using the set of selected features. The classifier is applied at a candidate volume to determine whether the candidate volume contains an object of interest.
Siemens Corporate Research, Inc.
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additional inventional
Christian P. Anlei Xiang Sean Dorin
Schultz Dong Zhou Comaniciu