Visibility Acquisition Control for Realistic Blur Transition in VR
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Solution Overview
Problem
Existing methods for generating virtual space images fail to accurately replicate the temporal change in blurriness of objects as the user's viewpoint changes, leading to a discrepancy between the perceived blurriness in virtual and real spaces.
Innovation Solution
A control method for a visibility information acquisition device that displays identifiers at different positions and controls their visibility transition based on preset conditions, allowing accurate acquisition of visibility information during viewpoint movement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the blurring process for image data is executed at high speed in accordance with hardware performance, then image data can be generated at desired strength and higher speed, but the temporal change in blurriness of the virtual space image is different from that in the appearance of real space
Solution Approach 1:
The patent applies dynamics by making the blurring process adaptive rather than static. The degree of blurring is dynamically adjusted based on detected eye movement parameters (velocity, acceleration, jerk) to match the temporal characteristics of real-world focal adjustment. This resolves the contradiction by allowing high-speed processing while maintaining temporal accuracy through real-time parameter-based modulation of the blurring effect.
Solution Approach 2:
The patent changes multiple parameters simultaneously including blurring strength, range, and temporal characteristics based on eye movement measurements. By modifying these parameters dynamically according to detected ocular kinetics, the system achieves both high processing speed and accurate temporal representation of real-space blurriness during viewpoint changes.
2Device complexity
If only the range and strength of blurring process are set depending on rotation speed, then the process is simple, but temporal change in the state of blurring process is not considered
Solution Approach 1:
The system transitions from static blurring control (based only on rotation speed) to dynamic control by incorporating real-time eye movement parameters. The blurring process is continuously adjusted according to measured ocular kinetics, enabling accurate temporal representation without excessive complexity through targeted parameter expansion.
Solution Approach 2:
The patent implements feedback by measuring actual eye movement parameters and using this information to adjust the blurring process in real-time. This closed-loop approach ensures temporal accuracy by continuously adapting the virtual image blurring to match the observer's focal adjustment characteristics, resolving the contradiction between simplicity and precision.
3Measurement precision
If the viewpoint changes or object arrangement changes in real space, then the peripheral region appears blurry, but the blurriness changes over time depending on focal point adjustment characteristics
Solution Approach 1:
The patent makes the blurring effect dynamic by linking it to measured eye movement parameters rather than applying a static blur. This allows the virtual image to accurately reproduce the temporal evolution of peripheral blurriness as the observer's focus adjusts, achieving high visibility accuracy without requiring overly complex manual control mechanisms.
Solution Approach 2:
The system uses the observer's own eye movement characteristics to automatically control the blurring effect. By measuring focal adjustment dynamics and applying corresponding temporal patterns to the virtual image, the system achieves accurate visibility representation without requiring external input or complex preset configurations.
Data Source
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AI summary
In a visibility information acquisition device 1, a display control unit 32 displays a first identifier at a first position ahead of a subject S and subsequently displays a second identifier at a second position spaced in the front-back direction from the first position, and moves the viewpoint of the subject S from the first position to the second position. The display control unit 32 then controls the display state of the second identifier according to the transition condition, and causes the visibility of the second identifier to transition from a reference state to an intended state different from the reference state. The visibility information on the second identifier during transition is acquired by an information acquisition unit 34 from the subject S. Accordingly, information required to allow generation of a virtual space image that achieves visibility close to that of the appearance of a real space can be acquired at high accuracy when the viewpoint is moved.