Method for enhancing depth images of scenes using trellis structures

US8994722B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-8994722-B2
Application numberUS-201213406139-A
CountryUS
Kind codeB2
Filing dateFeb 27, 2012
Priority dateFeb 14, 2011
Publication dateMar 31, 2015
Grant dateMar 31, 2015

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Abstract

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An image for a virtual view of a scene is generated based on a set of texture images and a corresponding set of depth images acquired of the scene. A set of candidate depths associated with each pixel of a selected image is determined. For each candidate depth, a cost that estimates a synthesis quality of the virtual image is determined. The candidate depth with a least cost is selected to produce an optimal depth for the pixel. Then, the virtual image is synthesized based on the optimal depth of each pixel and the texture images. The method also applies first and second depth enhancement before, and during view synthesis to correct errors or suppress noise due to the estimation or acquisition of the dense depth images and sparse depth features.

First claim

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We claim: 1. A method for generating a virtual image for a virtual view of a 3D scene based on a texture image and a depth image, wherein the depth image includes an associated dense depth image and associated sparse dense features, comprising steps of: applying a first depth enhancement to the dense depth image and the sparse depth features to obtain a first enhanced depth image; determining a plurality of candidate depths for each pixel of the first enhanced depth image; det…

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What does patent US8994722B2 cover?
An image for a virtual view of a scene is generated based on a set of texture images and a corresponding set of depth images acquired of the scene. A set of candidate depths associated with each pixel of a selected image is determined. For each candidate depth, a cost that estimates a synthesis quality of the virtual image is determined. The candidate depth with a least cost is selected to prod…
Who is the assignee on this patent?
Tian Dong, Wang Yongzhe, Vetro Anthony, and 1 more
What technology area does this patent fall under?
Primary CPC classification G06T15/205. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Mar 31 2015 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).