3D Image Fixation Region Expansion for Depth Perception
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Solution Overview
Problem
Conventional methods for capturing and displaying 3D scenes on computational devices using linear perspective projections result in unnatural distortions and limited perceived depth, especially for wide-angle views, as they fail to accurately represent the spatial structure of the 3D world, leading to flat and less immersive images.
Innovation Solution
A method that involves capturing image data from a computational device, isolating a fixation region, and spatially reconstructing it while compressing the peripheral region relative to the fixation point, emulating human perception by adjusting the image based on user input, such as gestures or eye tracking, to enhance perceived depth and naturalness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of moving object
If linear perspective projection is used to capture wide-angle views, then the angle of view is increased, but the image becomes increasingly distorted and illegible
Solution Approach 1:
The patent applies spherical projection geometry to map the 3D scene onto a spherical surface rather than a flat plane. This curvature-based approach allows wide-angle views to be captured while maintaining natural spatial relationships and avoiding the stretching and minification artifacts inherent in linear perspective projections.
Solution Approach 2:
The patent transforms the projection parameters from linear perspective to spherical projection, fundamentally changing the geometric model used to map 3D space to 2D display. This parameter change enables the system to represent wide-angle scenes with accurate depth perception and natural spatial organization.
2Area of moving object
If fisheye lenses or 360° lenses are used to avoid linear perspective distortion, then wide-angle views are achieved, but new types of distortion are introduced
Solution Approach 1:
The patent uses spherical projection to create a more accurate representation of spatial relationships compared to traditional fisheye or 360° lenses. By organizing visual space according to spherical geometry, the system maintains fidelity to the actual 3D scene structure while achieving wide-angle coverage.
3Manufacturing precision
If the correct centre of projection is used for wide-angle images, then the image appears undistorted, but the centre of projection is too close for comfortable viewing
Solution Approach 1:
The patent transitions from 2D flat display to 3D volumetric display, adding a depth dimension that allows the virtual image plane to be positioned at the correct centre of projection distance. This dimensional change enables both accurate spatial representation and comfortable viewing by placing the focal plane at an ergonomically appropriate distance from the observer.
4Ease of manufacture
If conventional geometric methods are used to generate images, then the image can be displayed on a flat screen, but the image appears flat with limited perceived depth
Solution Approach 1:
The patent employs volumetric display technology to add a third dimension to the image presentation. By rendering the spherical projection in 3D space rather than on a flat surface, the system preserves depth cues and creates immersive spatial representation while maintaining organizational simplicity through the spherical coordinate system.
Data Source
AI summary
A method of modifying an image on a computational device and a system for implementing the method is disclosed. The method comprising the steps of: providing image data representative of at least a portion of a three-dimensional scene, the scene being visible to a human observer from a viewing point when fixating on a visual fixation point within the scene; displaying an image by rendering the image data on a display device; capturing user input by user input capturing means; modifying the image by: computationally isolating a fixation region within the image, the fixation region being defined by a subset of image data representing an image object within the image, wherein the image object is associated with the visual fixation point; spatially reconstructing the subset of image data to computationally expand the fixation region; spatially reconstructing remaining image data relative to the subset of image data to computationally compress a peripheral region of the image relative to the fixation region in a progressive fashion as a function of a distance from the fixation region, wherein the modification of the image is modulated by the user input such that a modified image is produced which synthetically emulates how the human observer would perceive the three-dimensional scene.