3D Image Rendering with Depth Remapping for Clearer View Synthesis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current 3D display technologies convert 2D videos into 3D videos using view conversion methods, resulting in imperfect 3D display effects and blurring, which degrades the user experience.
Innovation Solution
A 3D image generating method that involves obtaining initial color and depth images, remapping the depth image to obtain a target depth image, determining relative displacement, rendering the color image based on this displacement, and generating a 3D image from the target color and initial color images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If view conversion method is used to convert 2D video into 3D video, then 3D display function is achieved, but 3D display effect quality deteriorates and blurring occurs
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing depth information for multiple viewpoints in advance. Instead of converting 2D to 3D in real-time during playback, the system pre-processes the video content to generate depth maps and multi-viewpoint data, which are then readily available for high-quality 3D rendering without degradation.
Solution Approach 2:
The patent introduces depth information as an intermediary element between the 2D video and the 3D display output. By incorporating depth maps and depth buffers as intermediate data structures, the system enables accurate 3D rendering through view synthesis techniques, avoiding the quality loss associated with direct 2D-to-3D conversion methods.
2Productivity
If view conversion method is used, then 3D video can be generated from 2D video, but image clarity deteriorates due to blurring
Solution Approach 1:
The patent replaces traditional mechanical 2D-to-3D conversion methods with a computational approach based on depth information and view synthesis. Instead of using optical or mechanical conversion techniques that inherently cause blurring, the system uses algorithms that leverage pre-calculated depth data to synthesize accurate 3D views, maintaining sharp image quality.
Solution Approach 2:
The patent changes the fundamental parameters of the video data by incorporating depth information (Z-axis parameter) alongside traditional color information. This transformation from 2D (x, y, color) to 3D (x, y, z, color) parameter space enables precise control over image rendering at different viewpoints without the blurring artifacts that plague conventional conversion methods.
Data Source
AI summary
Disclosed are a 3D image generating method a 3D image generating apparatus and a computer device, which are capable of obtaining a clearer 3D image and improve viewing experience of a user. The method includes: obtaining an initial color image and an initial depth image from a back-end cache, the initial color image and the initial depth image being associated with each other; remapping the initial depth image to obtain a target depth image; determining a relative displacement corresponding to the initial color image; rendering the initial color image based on the relative displacement and the target depth image to obtain a target color image; and generating a 3D image based on the target color image and the initial color image.


