Scene-Adaptive Depth Scheme Selection for Image Processing
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Solution Overview
Problem
Existing image and video processing technologies lack the ability to adaptively select depth schemes based on scene information, leading to inefficient resource usage and varying accuracy in determining depth information.
Innovation Solution
Systems and techniques that adaptively select depth schemes based on scene information, such as subject information, lighting conditions, and motion, to determine depth information and modify images accordingly, conserving computational resources and improving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed depth scheme is used for all scenes, then the system complexity is reduced, but the depth information accuracy varies across different scene conditions
Solution Approach 1:
The system dynamically selects from multiple depth schemes (stereo vision, structured light, time-of-flight, monocular depth estimation) based on real-time scene analysis including lighting conditions, motion detection, and subject identification. This dynamic adaptation ensures optimal depth accuracy for each specific scene type while maintaining system versatility across diverse conditions.
2Measurement precision
If multiple depth schemes are always active, then depth information accuracy is improved, but computational resource usage increases
Solution Approach 1:
The system segments the overall depth processing task by activating only the specific depth scheme needed for the current scene type. Scene analysis divides conditions into categories (low light, high motion, static scenes, etc.) and assigns appropriate depth schemes, avoiding the computational overhead of running all schemes simultaneously while maintaining accurate depth measurement.
Solution Approach 2:
The system changes operational parameters by switching between different depth schemes based on scene conditions. Instead of maintaining all schemes at full operational capacity, the system adjusts which scheme is active, changing the computational state to match scene requirements and thereby reducing overall resource consumption.
3Measurement precision
If scene analysis is performed to select depth schemes, then depth information accuracy is improved, but processing time increases
Solution Approach 1:
The system performs preliminary scene analysis by detecting key characteristics (lighting conditions, motion presence, subject type) before selecting a depth scheme. This preliminary assessment is designed to be computationally efficient, identifying scene category quickly and selecting the appropriate depth scheme in advance, thereby minimizing the time added to the overall processing pipeline.
Data Source
AI summary
Systems and techniques are described herein for processing images. For instance, a method for processing images is provided. The method may include obtaining scene information based on a scene; determining a depth scheme from among a plurality of depth schemes based on the scene information; using the depth scheme to obtain depth information of the scene; and processing an image of the scene based on the depth information.