Digital Multi-Dimensional Image Platform Parallax Alignment
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Solution Overview
Problem
Traditional methods for generating digital multi-dimensional images using lenticular media face issues such as misalignment, resulting in jumping images, out-of-focus, or fuzzy features, due to manual and artistic calibration limitations, which lead to poor composition and ghosting effects.
Innovation Solution
A digital multi-dimensional photon image platform system that utilizes a computer processor to systematically create high-quality images by converting 2D source scenes into stereo pairs, calculating parallax, and interpolating image frames to align them with a key subject point, ensuring precise control over depth of field and image composition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual and artistic calibration methods are used to compose multi-dimensional images, then the process allows operator flexibility and judgment, but the result suffers from misalignment, jumping images, out-of-focus features, and ghosting effects
Solution Approach 1:
The patent replaces manual operator calibration with an automated computer-based system that calculates and applies precise parallax adjustments. The system uses algorithms to determine the key subject point, compute parallax values for multiple frames, and automatically compose the multi-dimensional image without manual intervention, thereby eliminating misalignment and ghosting effects while maintaining operational simplicity.
Solution Approach 2:
The patent systematically adjusts critical parameters including parallax values, frame offsets, and depth of field settings based on calculated measurements rather than artistic judgment. By changing these parameters through automated computation centered on a key subject point, the system achieves precise alignment across all frames, eliminating jumping images and out-of-focus features while preserving compositional flexibility.
2Adaptability or versatility
If multiple frames are composed with independent depth of field adjustments, then creative control is enhanced, but alignment consistency deteriorates leading to jumping images and fuzzy features
Solution Approach 1:
The patent segments the image composition process into distinct computational stages: identifying the key subject point, calculating parallax for each frame independently, determining optimal frame offsets, and applying depth of field adjustments. This segmentation allows each frame to be processed with specific parameters while maintaining overall alignment consistency through the centralized key subject point reference.
Solution Approach 2:
The patent applies systematic parameter changes to each frame based on its position relative to the key subject point. Parallax values, horizontal/vertical offsets, and depth of field parameters are precisely adjusted for each frame using calculated measurements, enabling creative depth control while maintaining stable alignment across the entire multi-dimensional composition.
3Manufacturing precision
If automated computer-based image generation is implemented, then manufacturing precision and alignment accuracy improve, but system complexity increases
Solution Approach 1:
The patent implements a self-service automated system where the computer automatically identifies the key subject point, calculates all necessary parallax and offset parameters, and composes the multi-dimensional image without requiring complex manual setup or adjustment mechanisms. The system serves itself by using algorithmic computation to determine all compositional parameters, simplifying the user interface while maintaining high precision.
Solution Approach 2:
The patent manages system complexity by systematically changing and optimizing a defined set of parameters (parallax values, frame offsets, depth of field settings) through automated computation. Rather than requiring complex hardware adjustments or manual calibration procedures, the system achieves high precision by algorithmically determining and applying these parameters, thereby reducing operational complexity while maintaining manufacturing accuracy.
Data Source
AI summary
A systematic approach to producing multi-dimensional photon images on a computer platform having applications to a plurality of input image(s) from various sources, and applications to coordinate and adjust numerous variables which determine the quality of the image, such as the size of the imported images, the output image size, the resolving power of the viewing screen and the width of the resolving elements, the dots per inch of the output device (or pixels per inch), the desired nearest object, the desired furthest object and the determination of the central or the “key subject”, rules of interphasing, the number of frames or layers, the minimum parallax, and the maximum parallax, and, thus, provide a digital multi-dimensional image without jumping images or fuzzy features or other visual distortions by creating high quality output images both in the form of a printed hardcopy or as a viewed image on an appropriate viewing device. The digital multi-dimensional image platform based system controls the position and path of light from the original object to the human visual system.