Virtual Space Construction Using Variable-Size Voxel Segmentation
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Solution Overview
Problem
Existing techniques for constructing virtual spaces based on reality spaces using unit volume elements, such as voxels, face increased operational load and data processing requirements when reducing element sizes for more detailed reproduction, leading to a need for a method to minimize the number of elements required while maintaining accuracy.
Innovation Solution
An information processing apparatus and method that acquires images of a reality space and constructs a virtual space by arranging multiple types of unit volume elements with different sizes, determined based on the subject's size, shape, distance, and position, to efficiently reproduce objects with a reduced number of elements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the sizes of the unit volume elements are reduced to reproduce objects in more detail, then the manufacturing precision and measurement precision are improved, but the quantity of substance increases and the operational load increases
Solution Approach 1:
The patent divides the virtual space into multiple regions and uses different sizes of unit volume elements (voxels) for different regions. Larger voxels are used for regions where high detail is not critical, while smaller voxels are used for regions requiring higher detail. This segmentation allows the system to maintain object reproduction accuracy where needed while reducing the overall number of voxels required.
Solution Approach 2:
The patent applies local quality by varying the size and density of unit volume elements based on the specific requirements of different spatial regions. Instead of using a uniform voxel size throughout the entire virtual space, the system dynamically adjusts voxel characteristics locally to match the detail requirements of each region, thereby reducing the total quantity of voxels while maintaining necessary reproduction quality.
2Manufacturing precision
If the sizes of the unit volume elements are reduced to reproduce objects in more detail, then the manufacturing precision is improved, but the productivity decreases due to increased operational load
Solution Approach 1:
By segmenting the virtual space into regions with different detail requirements and applying appropriate voxel sizes to each segment, the patent reduces the total number of voxels that need to be processed. This segmentation strategy maintains high reproduction accuracy for important objects while using coarser representation for less critical areas, thereby improving overall data processing speed and system productivity.
Solution Approach 2:
The patent applies partial action by processing only the necessary level of detail for each region rather than uniformly high detail across the entire scene. This allows the system to focus computational resources on regions where detailed reproduction is most beneficial, improving productivity by avoiding unnecessary processing of low-priority areas with fine-grained voxels.
3Measurement precision
If the sizes of the unit volume elements are reduced to reproduce objects in more detail, then the measurement precision is improved, but the amount of data to be processed increases
Solution Approach 1:
The patent implements local quality by adapting the voxel size and data representation to the specific requirements of each region in the virtual space. High-precision small voxels are used only where measurement precision is critical, while larger voxels are used in regions where lower precision is acceptable. This approach maintains measurement accuracy for important objects while significantly reducing the overall data volume that needs to be stored and processed.
Data Source
AI summary
An information processing apparatus constructs a virtual space to express a subject by acquiring an image obtained by observing a reality space in which one or more subjects are present, and arranging a plurality of unit volume elements at positions that are determined depending on a subject captured in the acquired image, and the information processing apparatus constructs a virtual space by arranging multiple types of unit volume elements with different sizes.