Evaluation of three-dimensional scenes using two-dimensional representations
First Claim
1. A system disposed to implement a learning rule in a three-dimensional (3D) environment, the system comprising:
- a renderer disposed to generate a plurality of two-dimensional (2D) images based at least partly on a set of 3D scenes;
a computational element disposed to generate a set of appearance features based at least partly on at least one 2D image from among the plurality of 2D images; and
an attribute classifier disposed to generate at least one set of learned features based at least partly on each set of appearance features and to generate a set of estimated scene features based at least partly on each set of learned features.
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Abstract
A system adapted to implement a learning rule in a three-dimensional (3D) environment is described. The system includes: a renderer adapted to generate a two-dimensional (2D) image based at least partly on a 3D scene; a computational element adapted to generate a set of appearance features based at least partly on the 2D image; and an attribute classifier adapted to generate at least one set of learned features based at least partly on the set of appearance features and to generate a set of estimated scene features based at least partly on the set of learned features. A method labels each image from among the set of 2D images with scene information regarding the 3D scene; selects a set of learning modifiers based at least partly on the labeling of at least two images; and updates a set of weights based at least partly on the set of learning modifiers.
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Citations
20 Claims
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1. A system disposed to implement a learning rule in a three-dimensional (3D) environment, the system comprising:
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a renderer disposed to generate a plurality of two-dimensional (2D) images based at least partly on a set of 3D scenes; a computational element disposed to generate a set of appearance features based at least partly on at least one 2D image from among the plurality of 2D images; and an attribute classifier disposed to generate at least one set of learned features based at least partly on each set of appearance features and to generate a set of estimated scene features based at least partly on each set of learned features. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. An automated method disposed to provide learning about a three-dimensional (3D) scene using a set of two-dimensional (2D) images, the method comprising:
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labeling each image from among the set of 2D images with scene information regarding the 3D scene, the scene information being associated with the labeled image; selecting a set of learning modifiers based at least partly on the labeling of at least two images; and updating a set of weights based at least partly on the set of learning modifiers. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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17. A non-transitory computer readable medium storing an image evaluation application disposed to provide learning about a three-dimensional (3D) scene using a set of two-dimensional (2D) images, the application comprising sets of instructions for:
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labeling each image from among the set of 2D images with scene information regarding the 3D scene, the scene information being associated with the labeled image; selecting a set of learning modifiers based at least partly on the labeling of at least two images; and updating a set of weights based at least partly on the set of learning modifiers. - View Dependent Claims (18, 19, 20)
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Specification