Image Capture Simulation With Selective High-Resolution Rendering
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Solution Overview
Problem
Existing graphics processing methods for simulating image capture by a camera lack the high physical accuracy required for real-world scenes, particularly in rendering objects of interest, leading to issues like aliasing and inefficient resource consumption.
Innovation Solution
A method and system that utilize high-sampling for objects of interest and low-sampling for background objects, employing a rendering pipeline to combine images with weighted contributions, allowing for enhanced resolution of objects of interest while maintaining computational efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-sampling is used to render all objects in the scene, then the accuracy of objects of interest is improved, but the computing resources consumption increases significantly
Solution Approach 1:
The patent segments the scene into objects of interest and background objects, applying different sampling rates to each segment. Objects of interest are rendered at high sampling rate while background objects are rendered at low sampling rate, thereby reducing overall computing resources consumption while maintaining accuracy where needed.
Solution Approach 2:
The patent applies local quality by varying the sampling rate based on the importance of different regions. High sampling rate is applied locally to objects of interest where accuracy is critical, while low sampling rate is applied to background regions where detail is less important, optimizing the balance between quality and computational cost.
2Productivity
If conventional rendering methods are used, then the overall processing speed is maintained, but aliasing and rendering inaccuracies occur in real-world scenes
Solution Approach 1:
The patent applies partial action by sampling only the necessary portions of the scene at high resolution. Instead of uniformly sampling the entire scene, it selectively samples only objects of interest at high resolution while using lower sampling for background, thereby achieving sufficient accuracy without the excessive computational cost of full high-sampling.
3Measurement precision
If high-sampling is applied to the entire image, then the accuracy of objects of interest is improved, but the rendering time increases
Solution Approach 1:
The patent segments the rendering process into two parts: high-sampling rendering of objects of interest and low-sampling rendering of background. This segmentation allows the system to spend rendering time only where it is most needed, reducing overall rendering time while maintaining accuracy of critical objects.
Solution Approach 2:
The patent applies local quality by concentrating high sampling rate on local regions containing objects of interest while using low sampling rate for the rest of the image. This localized approach reduces the total rendering time compared to uniform high-sampling, as only a portion of the image requires intensive processing.
Data Source
AI summary
Methods, systems, and computer program products simulate image-capture of a scene at having least one object of interest (OOI) by a camera. A plurality of rendered images is obtained and includes: i) a first image, at a first resolution, that is an image of the scene and excludes the OOI, ii) a second image, at a second resolution higher than the first resolution, that is an image of the OOI, iii) a third image, at the second resolution, that is an image of a region that bounds the OOI, wherein the OOI at least partially affects one or more other objects in the region, and iv) a fourth image, at the second resolution, wherein for each pixel of the fourth image, a pixel value of the pixel indicates a contribution of the OOI in the pixel. The images are processed to produce a high-resolution image of the OOI.