3D Image Generation via Cross-Set Selection and Parallel Processing
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Solution Overview
Problem
Existing techniques for generating three-dimensional images from multiple images sets are inefficient, as they often rely on single image sets and do not effectively utilize the processing capabilities of the generation and display units, leading to suboptimal image selection and display.
Innovation Solution
An information processing apparatus and method that includes an acquisition unit for obtaining multiple image sets, a storage unit for storing these sets, a selection unit for choosing a predetermined number of images across sets, and a generation unit for creating three-dimensional images, with the selection adjusted based on the processing capabilities of both the generation and display units, and a display unit for presenting selected three-dimensional images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple image sets are processed to generate three-dimensional images, then image quality and selection accuracy improve, but processing time and computational load increase
Solution Approach 1:
The patent applies preliminary action by selecting a predetermined number of images from multiple image sets before the three-dimensional image generation process begins. This pre-selection step filters the input data in advance, so that when the generation unit processes the selected images, it does not need to handle all images from all sets, thereby reducing processing time while maintaining image quality through careful pre-selection
Solution Approach 2:
The patent segments the processing workflow into distinct stages: an acquisition unit that collects multiple image sets, a selection unit that chooses predetermined numbers of images from these sets, and a generation unit that creates three-dimensional images from the selected images. This segmentation allows each unit to specialize and operate efficiently, reducing overall processing time while maintaining quality
2Reliability
If all images from multiple image sets are used for three-dimensional image generation, then processing completeness improves, but processing load and resource consumption increase
Solution Approach 1:
The patent applies partial action by selecting only a predetermined number of images from multiple image sets rather than processing all images. The selection unit chooses a specific count of images that is sufficient for generating high-quality three-dimensional images without the need to process every available image, thereby improving processing efficiency while maintaining reliability through adequate sampling
Solution Approach 2:
The patent changes the parameter of image quantity from 'all images' to 'predetermined number of images'. By adjusting this numerical parameter, the system optimizes the balance between processing completeness and efficiency, ensuring that enough images are selected to maintain reliability while limiting the total number processed to improve productivity
3Measurement precision
If image processing waits for previous processing to complete, then processing accuracy improves, but processing speed and throughput decrease
Solution Approach 1:
The patent implements continuity of useful action by enabling the acquisition unit to obtain new image sets while the generation unit is processing previous images. This continuous operation allows multiple processing pipelines to overlap, maintaining processing accuracy through proper data management while significantly improving overall processing speed and throughput through parallel execution
4Productivity
If a predetermined number of images are selected from multiple image sets, then processing efficiency improves, but image selection complexity increases
Solution Approach 1:
The patent simplifies the selection process by changing it from a complex optimization problem to a parameter-based selection where a predetermined number of images are chosen from multiple sets. This parameter approach (selecting a specific count rather than optimizing based on multiple criteria) improves processing efficiency while keeping selection complexity manageable through straightforward counting and selection logic
Data Source
AI summary
An information processing apparatus including: an acquisition unit that obtains an image set including a plurality of images in which a subject is captured; a first storage unit that stores a plurality of image sets; a first selection unit that selects a first predetermined number of images from across the plurality of image sets; and a generation unit that generates a three-dimensional image of the subject on the basis of the first predetermined number of images. According to this information processing apparatus, it is possible to generate a three-dimensional image more properly.