Dynamic Baseline Selection for Stereoscopic Imaging
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Solution Overview
Problem
Conventional stereoscopic imaging systems often struggle to dynamically adjust the baseline between camera pairs to optimize depth perception and image quality based on the distance to objects in a scene, leading to suboptimal results in capturing 3D images, especially when dealing with distant or close-up subjects.
Innovation Solution
A device with multiple camera systems oriented in the same direction, capable of selecting a camera pair with a baseline that matches the scene's requirements, determined by calculating the distance to objects and using focus settings to map to appropriate baselines for optimal stereoscopic imaging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a fixed baseline is used in stereoscopic imaging, then the device complexity is reduced, but the adaptability to different scene distances deteriorates
Solution Approach 1:
The camera system is divided into multiple discrete camera modules (e.g., first camera, second camera, third camera) that can be independently selected. Each camera has a known position, allowing the system to segment the baseline selection into discrete configurable options rather than requiring continuous adjustment mechanisms.
Solution Approach 2:
The system dynamically selects between different camera pairs based on real-time scene distance measurements. The baseline is not fixed but can be changed during operation by selecting different camera combinations, allowing adaptation to varying scene requirements while keeping individual camera positions fixed.
2Adaptability or versatility
If multiple camera pairs with different baselines are provided, then the adaptability to different scene distances is improved, but the device complexity increases
Solution Approach 1:
Multiple camera modules serve universal functions - each camera can participate in different stereo pairs for different baselines. The same physical cameras are used across multiple configurations, reducing the need for dedicated cameras for each baseline and minimizing overall device complexity.
Solution Approach 2:
The system changes the baseline parameter by selecting different combinations of existing cameras rather than adding physical cameras. By varying which cameras are paired together, the system achieves multiple baseline configurations using a fixed set of hardware components.
3Measurement precision
If the baseline is increased for distant objects, then the depth perception is improved, but the image quality for close-up subjects deteriorates
Solution Approach 1:
The system dynamically changes the baseline parameter based on scene distance. For distant objects, a larger baseline is selected to enhance depth perception. For close-up subjects, a smaller baseline is chosen to maintain image quality and avoid excessive parallax. This parameter adaptation ensures optimal performance across varying distances.
Solution Approach 2:
The baseline configuration is dynamic rather than static. The system automatically adjusts which camera pair is used based on real-time distance assessment, allowing the baseline to be optimized for each specific shooting scenario. This dynamic selection maintains image quality and depth accuracy across different subject distances.
Data Source
AI summary
An example method involves: (a) determining an indication of distance to an object in a scene, wherein the computing device comprises three or more image-capture devices that provide two or more baselines for stereoscopic imaging, wherein at least two pairs of image-capture devices from the three or more image-capture devices are operable for stereoscopic imaging, wherein each pair provides one of the baselines, and wherein a first of the baselines is non-parallel to a second of the baselines, (b) selecting, by the computing device, a first pair from the at least two pairs of image-capture devices, wherein the first pair is selected based on the indication of distance and the baseline provided by the first pair, and (c) operating the first pair of image-capture devices to capture stereoscopic image data.