Image analysis – Applications – Range or distance measuring
Reexamination Certificate
2011-08-30
2011-08-30
Lu, Tom Y (Department: 2624)
Image analysis
Applications
Range or distance measuring
C382S103000, C382S154000, C382S173000, C382S180000, C382S181000, C382S203000, C382S204000, C382S224000, C382S225000, C356S003010, C356S004010, C356S005010, C250S559290, C250S559380, C250S559070
Reexamination Certificate
active
08009871
ABSTRACT:
A method and system analyzes data acquired by image systems to more rapidly identify objects of interest in the data. In one embodiment, z-depth data are segmented such that neighboring image pixels having similar z-depths are given a common label. Blobs, or groups of pixels with a same label, may be defined to correspond to different objects. Blobs preferably are modeled as primitives to more rapidly identify objects in the acquired image. In some embodiments, a modified connected component analysis is carried out where image pixels are pre-grouped into regions of different depth values preferably using a depth value histogram. The histogram is divided into regions and image cluster centers are determined. A depth group value image containing blobs is obtained, with each pixel being assigned to one of the depth groups.
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Cheng et al., “A hierarchical approach to color image segmentation using homogeneity”, Image Processing, IEEE Transactions on Image Processing, IEEE, vol. 9, Issue 12, pp. 2071-2082.
Gokturk Salih Burak
Rafii Abbas
Conway Thomas A
Lu Tom Y
Microsoft Corporation
Vierra Magen Marcus & DeNiro LLP
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