3D Display Image Shifting for Dead Zone Elimination
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Solution Overview
Problem
Naked-eye 3D display apparatuses suffer from cross talk issues, leading to ghost images and discomfort for viewers positioned outside the normal viewing zone, known as the dead zone, which affects the overall visual experience.
Innovation Solution
A three-dimensional image adjustment method that automatically shifts two-dimensional images based on viewer positions and viewing angles to adjust the abnormal-viewing zone, ensuring that viewers can comfortably observe 3D images without ghost images by projecting the images through adjusted viewing angles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the 3D display apparatus uses fixed projection angles for multiple 2D images, then the device structure remains simple, but viewers positioned outside the normal viewing zone experience cross talk and ghost images
Solution Approach 1:
The patent implements dynamic adjustment of 2D image shifting based on detected viewer positions. The system continuously monitors viewer location and adjusts the projection angles of individual 2D images in real-time, transforming the static projection system into a dynamic one that adapts to viewer movement, thereby eliminating dead zones and cross talk effects
Solution Approach 2:
The system employs detection units to monitor viewer positions and feeds this information back to the image processing unit. Based on the detected positions, the system calculates and applies appropriate shifting amounts to each 2D image, creating a closed-loop control system that automatically optimizes viewing experience without requiring manual intervention
2Adaptability or versatility
If the system shifts multiple 2D images to adjust for different viewer positions, then viewing comfort is improved, but the processing time and computational load increase
Solution Approach 1:
The patent divides the 3D image into multiple 2D images (typically 5-9 images) with different projection angles. Each 2D image is processed independently with its own shifting amount, allowing parallel processing and reducing the computational complexity compared to processing a single 3D image for multiple viewers. This segmentation enables efficient handling of multiple viewer positions simultaneously
Solution Approach 2:
The system adjusts the shifting amount parameter of each 2D image based on viewer position detection. By changing this single parameter dynamically, the system adapts the projection angles to match viewer positions without requiring complex reprocessing of the entire image data, thus minimizing processing time while maintaining adaptability
Data Source
AI summary
A three-dimensional image adjustment method includes: displaying a three-dimensional image, which is composed by a first to Nth two-dimensional images with respective different viewing angles and formed by projecting the N two-dimensional images through a first to Nth viewing angles of a three-dimensional display apparatus, respectively, and the D1th to D2th of the N viewing angles are defined to a normal-viewing zone; and shifting the N two-dimensional images in first or second direction according to positions of first and second viewers, the D1th and D2th viewing angles, and projecting the N two-dimensional images through the first to Nth viewing angles, respectively, when the first and second viewers are located at the L1th and L2th of the N viewing angles, respectively, wherein at least one of the L1th and L2th viewing angle is located out of the normal-viewing zone. A three-dimensional display apparatus is also provided.