Method for modeling and estimating rendering errors in virtual images
First Claim
1. A method for estimating a quality of a virtual image for a synthetic viewpoint in a 3D scene, wherein the 3D scene is acquired by a plurality of texture images, and each texture image is associated with a depth image, comprising the steps of:
- determining a texture noise power based on the plurality of acquired texture images and a plurality of reconstructed texture images corresponding to a virtual texture image;
determining a depth noise power based on the plurality of acquired depth images and a plurality of reconstructed depth images corresponding to a virtual depth image; and
estimating the quality of the virtual image based on a combination of the texture noise power and the depth noise power, wherein the virtual image is rendered from the plurality of reconstructed texture images and the plurality of reconstructed depth images, wherein the steps are performed in a processing device.
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Abstract
A quality of a virtual image for a synthetic viewpoint in a 3D scene is determined. The 3D scene is acquired by texture images, and each texture image is associated with a depth image acquired by a camera arranged at a real viewpoint. A texture noise power is based on the acquired texture images and reconstructed texture images corresponding to a virtual texture image. A depth noise power is based on the depth images and reconstructed depth images corresponding to a virtual depth image. The quality of the virtual image is based on a combination of the texture noise power and the depth noise power, and the virtual image is rendered from the reconstructed texture images and the reconstructed depth images.
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Citations
9 Claims
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1. A method for estimating a quality of a virtual image for a synthetic viewpoint in a 3D scene, wherein the 3D scene is acquired by a plurality of texture images, and each texture image is associated with a depth image, comprising the steps of:
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determining a texture noise power based on the plurality of acquired texture images and a plurality of reconstructed texture images corresponding to a virtual texture image; determining a depth noise power based on the plurality of acquired depth images and a plurality of reconstructed depth images corresponding to a virtual depth image; and estimating the quality of the virtual image based on a combination of the texture noise power and the depth noise power, wherein the virtual image is rendered from the plurality of reconstructed texture images and the plurality of reconstructed depth images, wherein the steps are performed in a processing device. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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Specification