3D Image Depth Adjustment via Motion Vector Interpolation
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Solution Overview
Problem
Current 3D image display techniques require complex and expensive devices to adjust image depth and viewing angle, limiting user flexibility and independence in modifying 3D image content.
Innovation Solution
A 3D image processing apparatus and method utilizing motion estimation and motion interpolation to adjust the depth and viewing angle of 3D images, allowing for user-independent adjustments without dedicated complex devices, by estimating motion vectors and generating shifted objects through interpolation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If dedicated complex devices are used to adjust 3D image depth and viewing angle, then adjustment precision is improved, but device complexity increases
Solution Approach 1:
The patent replaces complex mechanical adjustment devices with a computational approach using motion estimation and motion interpolation algorithms. The system processes 3D image data through software-based motion analysis to achieve depth and viewing angle adjustments, eliminating the need for dedicated complex hardware mechanisms while maintaining adjustment precision.
Solution Approach 2:
The patent uses motion vectors derived from one eye's image to generate corresponding motion information for the other eye's image through interpolation. This copying approach allows the system to reproduce and adjust 3D image properties without requiring separate complex adjustment mechanisms for each eye, simplifying the overall device structure.
2Adaptability or versatility
If complex dedicated devices are implemented for 3D image adjustment, then adjustment functionality is improved, but ease of operation deteriorates
Solution Approach 1:
The system performs motion estimation and interpolation automatically without requiring complex user interactions or dedicated adjustment devices. The 3D image processing apparatus autonomously analyzes motion vectors and generates adjusted images, making the system self-sufficient and easy to operate while maintaining versatile adjustment capabilities.
Solution Approach 2:
The motion estimation and interpolation modules serve multiple functions simultaneously - they analyze motion between left and right eye images, generate motion vectors, perform interpolation to create adjusted images, and enable both depth and viewing angle adjustments through a unified computational framework, eliminating the need for separate dedicated devices for each adjustment type.
Data Source
AI summary
An apparatus for processing a three-dimensional (3D) image is provided. The apparatus includes a motion estimation module and a motion interpolation module. The motion estimation module estimates a motion vector between a first object in a first-eye image and a second object in a second-eye image. The first object is the same as or similar to the second object. The motion interpolation module multiplies the motion vector by a first shift ratio to generate a first motion vector. The motion interpolation module generates a shifted first object by interpolation according to the first motion vector and the first object.