发明者
Vitor Guizilini, Igor Vasiljevic, Rares A Ambrus, Sudeep Pillai, Adrien David Gaidon
发表日期
2022/9/6
专利局
US
专利号
11436743
专利申请号
16906801
简介
System, methods, and other embodiments described herein relate to semi-supervised training of a depth model using a neural camera model that is independent of a camera type. In one embodiment, a method includes acquiring training data including at least a pair of training images and depth data associated with the training images. The method includes training the depth model using the training data to generate a self-supervised loss from the pair of training images and a supervised loss from the depth data. Training the depth model includes learning the camera type by generating, using a ray surface model, a ray surface that approximates an image character of the training images as produced by a camera having the camera type. The method includes providing the depth model to infer depths from monocular images in a device.
引用总数
20212022202320242121
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