Virtual Camera Depth-of-Field Mask for Adaptive Image Blur
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Solution Overview
Problem
Existing techniques for displaying a virtual space with depth of field blurring lack the ability to dynamically adjust the blurring range based on the state of a virtual camera, leading to decreased visibility.
Innovation Solution
An information processing program that adjusts the degree of blurring in a virtual space image based on the distance from and direction of a virtual camera, allowing for dynamic changes in blurring to enhance visibility by increasing or decreasing blurring based on proximity and camera orientation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed range on the display screen is blurred based on depth of field, then the depth of field effect is achieved, but the visibility decreases because the blurring range cannot be changed according to virtual camera state
Solution Approach 1:
The patent applies dynamics by making the blurring range adjustable based on virtual camera state. The system dynamically changes the blurring range according to the distance between the virtual camera and the location of interest, transforming a static depth of field effect into a dynamic one that adapts to different viewing conditions, thereby improving visibility while maintaining the depth of field effect
Solution Approach 2:
The patent changes the parameter of blurring range based on the distance parameter between the virtual camera and location of interest. By using the distance parameter to control the extent of blurring, the system optimizes visibility for different camera positions and viewing scenarios while preserving the depth of field rendering effect
2Device complexity
If the degree of blurring is uniformly applied across the image, then the depth of field effect is simplified, but the visibility is reduced in certain viewing conditions
Solution Approach 1:
The patent applies local quality by differentiating the blurring degree across different regions of the image based on their distance from the virtual camera. Locations closer to the camera receive different blurring treatment compared to distant locations, creating locally optimized visibility while maintaining overall depth of field effect
Data Source
AI summary
A blurred image is generated by blurring an image of a virtual space in a range of view from a virtual camera with a degree of blurring depending on a distance from the virtual camera. The blurred image is output on a display screen. The degree of blurring is determined, additionally depending on a location in the blurred image, and for at least a portion of locations in the blurred image, is changed, depending on at least one of an imaging direction of the virtual camera and a distance between a location of interest in the virtual space and the virtual camera.