Learning object cutout from a single example
First Claim
1. A method, comprising:
- receiving a first image; and
segmenting a second image based on contextual colors and edge profiles in the first image.
2 Assignments
0 Petitions
Accused Products
Abstract
Systems and methods are described for learning visual object cutout from a single example. In one implementation, an exemplary system determines the color context near each block in a model image to create an appearance model. The system also learns color sequences that occur across visual edges in the model image to create an edge profile model. The exemplary system then infers segmentation boundaries in unknown images based on the appearance model and edge profile model. In one implementation, the exemplary system minimizes the energy in a graph-cut model where the appearance model is used for data energy and the edge profile is used to modulate edges. The system is not limited to images with nearly identical foregrounds or backgrounds. Some variations in scale, rotation, and viewpoint are allowed.
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Citations
20 Claims
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1. A method, comprising:
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receiving a first image; and segmenting a second image based on contextual colors and edge profiles in the first image. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 18)
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15. A method of propagating object cutout from a model image, comprising:
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dividing the model image into blocks; sampling contextual colors around each block into an appearance model that is based on learning local color patterns of the model image; learning edge profiles for edges in the model image; segmenting a different image based on both the appearance model and the edge profiles. - View Dependent Claims (16, 17)
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19. A system, comprising:
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means for sampling a local color pattern around each block of a first image; means for learning edges in the first image; and means for segmenting a second image based on the local color patterns and the learned edges in the first image. - View Dependent Claims (20)
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Specification