Google llc (20240212184). INTERMEDIATE VIEW SYNTHESIS BETWEEN WIDE-BASELINE PANORAMAS simplified abstract
Contents
INTERMEDIATE VIEW SYNTHESIS BETWEEN WIDE-BASELINE PANORAMAS
Organization Name
Inventor(s)
Ruofei Du of San Francisco CA (US)
David Li of Gaithersburg MD (US)
Danhang Tang of West Hollywood CA (US)
Yinda Zhang of Palo Alto CA (US)
INTERMEDIATE VIEW SYNTHESIS BETWEEN WIDE-BASELINE PANORAMAS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240212184 titled 'INTERMEDIATE VIEW SYNTHESIS BETWEEN WIDE-BASELINE PANORAMAS
Simplified Explanation: The patent application describes a method for predicting stereo depth in panoramic images captured with a time gap, generating mesh representations based on the images and stereo depth, and synthesizing a new panoramic image by combining the mesh representations.
- Predict stereo depth in panoramic images with a time gap between captures.
- Generate mesh representations based on the images and stereo depth.
- Fuse the mesh representations to create a new panoramic image.
Potential Applications: This technology could be used in virtual reality, augmented reality, 3D modeling, and image processing applications.
Problems Solved: This method addresses the challenge of creating seamless panoramic images from multiple captures with varying stereo depths.
Benefits: The technology enables the creation of high-quality panoramic images with accurate depth information, enhancing the visual experience for users.
Commercial Applications: Potential commercial applications include virtual tours, gaming environments, architectural visualization, and immersive media experiences.
Prior Art: Researchers can explore prior art related to stereo depth prediction, mesh generation, and panoramic image synthesis in computer vision and graphics literature.
Frequently Updated Research: Stay updated on advancements in stereo depth prediction algorithms, mesh processing techniques, and panoramic image generation methods in academic and industry research.
Questions about Stereo Depth Prediction: 1. How does the method predict stereo depth in panoramic images captured at different times? 2. What are the key factors influencing the accuracy of stereo depth prediction in this technology?
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Original Abstract Submitted
a method including predicting a stereo depth associated with a first panoramic image and a second panoramic image, the first panoramic image and the second panoramic image being captured with a time interlude between the capture of the first panoramic image and the second panoramic image, generating a first mesh representation based on the first panoramic image and a stereo depth corresponding to the first panoramic image, generating a second mesh representation based on the second panoramic image and a stereo depth corresponding to the second panoramic image, and synthesizing a third panoramic image based on fusing the first mesh representation with the second mesh representation.
