Video Generation Apparatus Reducing Depth Expression Blurring
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Solution Overview
Problem
Videos with a sense of depth experience blurring due to noise incorporation during three-dimensional spatial position measurement, causing deviations in object positioning.
Innovation Solution
A video generation device comprising an extraction unit, detection unit, merging unit, generation unit, and feedback unit that extract, measure, associate, and adjust object areas using predetermined parameters, with a feedback mechanism to reduce blurring by adjusting parameter values based on feedback information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If three-dimensional spatial position measurement is performed using a spatial shape measurement device, then depth information can be obtained for video generation, but noise is incorporated during measurement causing object position deviation and blurring in the depth expression video
Solution Approach 1:
The patent implements a feedback mechanism where the system detects blurring in the depth expression video and automatically adjusts the threshold value parameter in the extraction unit. The feedback loop monitors the quality of the depth expression video and modifies extraction parameters to optimize the balance between noise filtering and position accuracy, thereby resolving the contradiction between measurement precision and reliability.
Solution Approach 2:
The patent changes the threshold value parameter dynamically based on feedback from blurring detection. By adjusting this parameter, the system modifies the extraction characteristics to reduce noise incorporation while maintaining accurate object position representation in the depth expression video, thus resolving the measurement precision versus reliability contradiction.
2Reliability
If the threshold value parameter is increased to reduce noise in three-dimensional position measurement, then measurement reliability improves, but object extraction accuracy deteriorates due to excessive filtering
Solution Approach 1:
The feedback mechanism continuously monitors the depth expression video quality and adjusts the threshold value parameter dynamically. This allows the system to find the optimal balance point where noise is sufficiently reduced without excessively filtering out valid object features, thereby maintaining both reliability and measurement precision.
Solution Approach 2:
The threshold value parameter is made dynamic rather than fixed, allowing it to adapt based on feedback from the system performance. This dynamic adjustment enables the system to optimize noise reduction while preserving object extraction accuracy under different conditions, resolving the contradiction between reliability and precision.
Data Source
AI summary
A video generation device includes: an object extraction unit that extracts an object area from a captured video in a space; a spatial position tracking unit that detects an article from three-dimensional position measurement data in the space, applies identification information to the article, and calculates a three-dimensional spatial position of the article using the three-dimensional position measurement data; a position information merging unit that links the object area to the identification information of the article to associate the three-dimensional spatial position with the object area; a depth expression unit that generates a depth expression video of only the object area with which the three-dimensional spatial position has been associated, a depth of the video being able to be adjusted in the depth expression video; and a feedback unit 15 that transmits information indicating a method for reducing blurring generated in the object area of the depth expression video.