Evaluation of Three-Dimensional Scenes Using Two-Dimensional Representations

摘要

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.

主权项

1. A robotic device that implements a learning rule in a three-dimensional (3D) environment, the robotic device comprising:
a camera that captures and renders a plurality of two-dimensional (2D) images associated with a 3D environment; a processor for executing a set of instructions; and a non-transitory medium that stores the set of instructions, wherein the set of instructions comprises:
generating a set of appearance features based at least partly on a 2D image from among the plurality of 2D images;generating a set of learned features based at least partly on each set of appearance features; andgenerating a set of estimated environment features based at least partly on the set of learned features.