Simulated Rolling Shutter Image Data Generation
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Solution Overview
Problem
Global shutter image data cannot be directly used by systems designed for rolling shutter image data due to differences in image capture methods, leading to distortions and artifacts, which hinders the use of rolling shutter images in applications like autonomous vehicle navigation.
Innovation Solution
Converting global shutter image data into simulated rolling shutter image data by determining rolling shutter artifacts and generating simulated images with optical flow fields, scan line characteristics, and high-dynamic range (HDR) simulations to create data compatible with rolling shutter image systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If global shutter image data is used directly in systems designed for rolling shutter data, then the system can maintain its original design and operation, but the image data cannot be properly processed due to fundamental differences in capture methods leading to distortions and artifacts
Solution Approach 1:
The patent creates simulated rolling shutter image data by copying and transforming global shutter image data through a virtual rolling shutter model. This involves generating synthetic rolling shutter artifacts (skew, distortion, timing variations) based on the optical flow field and scene geometry, thereby producing data that mimics真实 rolling shutter characteristics without requiring actual rolling shutter capture
Solution Approach 2:
The patent transforms global shutter image data into simulated rolling shutter data by changing key parameters including temporal sampling characteristics, spatial distortion parameters, and scan line timing parameters. This parameter transformation enables the data to conform to the expected input characteristics of rolling shutter-based systems
2Speed
If rolling shutter image capture method is used to record rapidly moving objects or flashing light, then the imager can operate with simpler hardware and faster readout, but the recorded images contain distortions and artifacts that differ from global shutter images
Solution Approach 1:
The patent converts the harmful rolling shutter artifacts (skew, distortion, temporal mismatches) into beneficial training data characteristics. By intentionally introducing these artifacts into simulated rolling shutter images derived from accurate global shutter data, the system creates realistic training examples that help machine learning models learn to handle and correct such distortions in real-world scenarios
Solution Approach 2:
The patent performs preliminary simulation of rolling shutter effects on global shutter image data before the data is used for training or processing. This advance transformation prepares the data in advance to match the expected input characteristics of rolling shutter systems, preventing potential processing errors and improving system performance
3Reliability
If a system is designed specifically for global shutter image data, then it can process that data accurately, but it cannot effectively use rolling shutter image data without modification
Solution Approach 1:
The patent creates a universal data representation that can serve both global shutter and rolling shutter systems. By generating simulated rolling shutter data from global shutter inputs, the system enables a single processing pipeline to handle multiple shutter types effectively, making the system multi-functional and adaptable to different imaging modalities
Data Source
AI summary
A system for converting global shutter image data into simulated rolling shutter image data may include a global-to-rolling shutter image converter. The converter may be configured to receive global shutter image data associated with a plurality of global shutter images. The global shutter image data may include dynamic global shutter image data representative of a moving object in the plurality of global shutter images. The converter may also be configured to determine an optical flow field based at least in part on two or more of the plurality of global shutter images and generate the simulated rolling shutter image based at least in part on the optical flow field. The converter may also be configured to generate high dynamic range (HDR) images based at least in part on the optical flow field and the global shutter image data.


