Hybrid Detection Recognition System
AssigneeRicoh Company, Ltd.
InventorsJunghyun Kwon, Ramya Narasimha, Edward L. Schwartz, Max McFarland, Silvio Savarese, Kathrin Berkner
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Abstract
A system and method for determining an object or product represented in an image is disclosed. The system receives a first image, determines a region of interest in the first image, determines a classification score for the region of interest using a convolutional neural network that assigns the region of interest the classification score corresponding to a class, and identifies a first product in the first image based on the classification score.
Claims20
A method comprising:
- receiving, by one or more processors, a first image;
- determining, by the one or more processors, a region of interest in the first image;
- determining, by the one or more processors, a classification score for the region of interest using a convolutional neural network, the convolutional neural network assigning the region of interest the classification score corresponding to a class;
- and
- identifying, by the one or more processors, a first product in the first image based on the classification score.
A system comprising:
- one or more processors;
- and
- a memory, the memory storing instructions, which when executed cause the one or more processors to:
- receive a first image;
- determine a region of interest in the first image;
- determine a classification score for the region of interest using a convolutional neural network, the convolutional neural network assigning the region of interest the classification score corresponding to a class;
- and
- identify a first product in the first image based on the classification score.
A computer program product comprising a non-transitory computer readable medium storing a computer readable program, wherein the computer readable program when executed on a computer causes the computer to:
- receive a first image;
- determine a region of interest in the first image;
- determine a classification score for the region of interest using a convolutional neural network, the convolutional neural network assigning the region of interest the classification score corresponding to a class;
- and
- identify a first product in the first image based on the classification score.
Dependencies are inferred from the claim text.