Microsoft Corporation
DENSE DEPTH COMPUTATIONS AIDED BY SPARSE FEATURE MATCHING

Last updated:

Abstract:

A system for dense depth computation aided by sparse feature matching generates a first image using a first camera, a second image using a second camera, and a third image using a third camera. The system generates a sparse disparity map using the first image and the third image by (1) identifying a set of feature points within the first image and a set of corresponding feature points within the third image, and (2) identifying feature disparity values based on the set of feature points and the set of corresponding feature points. The system also applies the first image, the second image, and the sparse disparity map as inputs for generating a dense disparity map.

Status:
Application
Type:

Utility

Filling date:

22 Jun 2020

Issue date:

23 Dec 2021