Perceptual Depth-Plane Quantization for 3D Scene Rendering
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Solution Overview
Problem
Existing methods for representing three-dimensional scenes require a large number of depth planes, leading to excessive data processing, which is inefficient and not optimized for the human visual system's depth perception capabilities.
Innovation Solution
Implementing a 'Depth Perceptual Quantization' function that reduces the number of depth planes by determining just-noticeable differences in depth based on human visual acuity, using a geometrical derivation to calculate depth-plane locations, and generating proxy images from cross-sectional images, ensuring accurate depth representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a large number of depth planes are used to accurately represent a three-dimensional scene, then the accuracy of depth representation is improved, but the amount of data processing required increases excessively
Solution Approach 1:
The patent applies parameter changes by transforming the depth representation from uniform linear spacing to non-uniform spacing based on human visual perception characteristics. The depth planes are distributed according to a perceptual model where closer depth planes are more densely spaced and farther planes are more sparsely spaced, matching how human vision perceives depth. This optimization reduces the total number of depth planes needed while maintaining perceptual accuracy, thereby improving data processing efficiency without sacrificing perceived depth quality
Solution Approach 2:
The patent implements local quality by applying different depth plane spacing strategies to different regions of the three-dimensional scene based on their perceptual importance. Regions closer to the viewer receive denser depth plane sampling while distant regions use sparser sampling. This localized adaptation of depth representation quality ensures that processing resources are concentrated where they provide the most perceptual benefit, reducing overall data processing requirements while maintaining accuracy where it matters most
2Productivity
If the number of depth planes is reduced to decrease data processing, then data processing efficiency is improved, but the accuracy of depth simulation may be compromised
Solution Approach 1:
The patent transforms the depth plane distribution parameter from uniform to non-uniform spacing based on human visual perception characteristics. By changing how depth planes are distributed in space rather than simply reducing their total number, the system maintains perceptual accuracy while reducing data processing requirements. The perceptual model ensures that depth planes are placed where they provide maximum visual benefit
Solution Approach 2:
The patent introduces dynamic adaptation of depth plane distribution based on viewing conditions and scene characteristics. The system can adjust the density and spacing of depth planes dynamically according to the viewer's position, the scene's depth range, and perceptual importance metrics. This dynamic approach allows the system to maintain high depth simulation accuracy in critical regions while using fewer planes overall, balancing processing efficiency with accuracy
3Ease of manufacture
If uniform depth plane spacing is used, then the simplicity of implementation is improved, but the optimization for human visual system's depth perception is worsened
Solution Approach 1:
The patent changes the depth plane spacing parameter from uniform to non-uniform distribution based on human visual perception characteristics. This parameter transformation allows the system to adapt to how humans actually perceive depth, with denser sampling in regions of higher perceptual importance and sparser sampling in less critical regions. The implementation maintains mathematical tractability while achieving superior perceptual accuracy
Solution Approach 2:
The patent applies local quality by differentiating depth plane density across different spatial regions according to their perceptual importance. Rather than treating all depth planes uniformly, the system assigns different sampling densities to different regions of the three-dimensional scene based on viewer proximity and scene geometry. This localized differentiation optimizes the representation to match human visual system characteristics
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach reduces data processing requirements while maintaining accurate depth simulation, leveraging spatial acuity and motion parallax to enhance depth perception, and allows for efficient rendering of high-frequency occlusions.
Implementation Method 1
a visual angle Δφ subtended by separation ΔD when viewed from the second vantage point
Implementation Method 2
leveraging spatial acuity and motion parallax to enhance depth perception
Data Source
AI summary
A method for representing a three-dimensional scene stored as a three-dimensional data set includes determining a set of P depth-plane depths along a viewing direction. The method includes generating, from a three-dimensional data set, a proxy three-dimensional data set including Pproxy images by, for each depth-plane depth: generating a proxy image of the Pproxy images from at least one cross-sectional image of a plurality of transverse cross-sectional images that (i) constitute the three-dimensional data set and (ii) each represent a respective transverse cross-section of the three-dimensional scene at a respective scene-depth.