Local binary pattern networks methods and systems
AssigneeThe Regents of the University of California
InventorsRajesh Gupta, Jeng-Hau Lin, Yunfan Yang, Zeyu Chen, Zhuowen Tu
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AssigneeThe Regents of the University of California
InventorsRajesh Gupta, Jeng-Hau Lin, Yunfan Yang, Zeyu Chen, Zhuowen Tu
Estimating the term…
Disclosed are devices, systems and methods for providing efficient implementations for pattern recognition. Embodiments of the disclosed technology use local binary comparisons and random projection in place of conventional convolution operations. Some embodiments of the disclosed technology provide an important means to improve memory and speed efficiency that is particularly suited for small footprint devices and hardware accelerators. Other embodiments compare a binary pattern to one or more portions of an input image to determine a plurality of binary results, and generate an estimate of the feature based on the plurality of binary results. Yet other embodiments generate an final image, comprising a final estimate of the feature, by randomly selecting one or more portions from each of a plurality of initial images, wherein each of the plurality of initial images comprises an initial estimate of the feature.
A method for extracting at least one feature of an input image, the method comprising:
A device for extracting at least one feature of an input image, comprising:
A non-transitory computer readable program storage medium having code stored thereon, the code, when executed by a processor, causing the processor to implement a method for extracting at least one feature of an input image, the method comprising:
Dependencies are inferred from the claim text.