3D Depth Scanning With Circle of Confusion Compensation
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Solution Overview
Problem
Conventional 3D scanning devices face interference due to optical imperfections causing a circle of confusion (CoC), which affects the accurate determination of depth data, particularly when near objects interfere with the scanning of far objects.
Innovation Solution
A 3D scanning system and method that includes a projector, sensor, and depth processor to generate depth data by compensating for the circle of confusion using modified factors representing deviations in image data, determining the position and range of the CoC, and adjusting depth data accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional 3D scanning devices use standard optical sensors, then device complexity is reduced, but measurement precision deteriorates due to circle of confusion interference
Solution Approach 1:
The patent introduces a depth processor as an intermediary component that receives image data from the sensor and applies circle of confusion compensation algorithms. This mediator processes the raw data to eliminate optical imperfections, thereby improving depth measurement accuracy without requiring changes to the basic sensor hardware
Solution Approach 2:
The patent modifies the processing parameters by applying circle of confusion compensation factors to the image data. The depth processor adjusts depth values based on calculated compensation parameters that account for optical imperfections, transforming raw inaccurate measurements into corrected accurate depth data
2Productivity
If the sensor captures reflected light from both near and far objects, then productivity is improved by scanning multiple depth ranges, but measurement precision deteriorates due to near objects interfering with far object depth determination
Solution Approach 1:
The patent extracts and separates the circle of confusion effect from the total image data. By identifying and isolating the interference component caused by near objects, the system can remove this harmful factor and retrieve accurate depth information for far objects that would otherwise be obscured
Solution Approach 2:
The depth processor uses feedback mechanisms to iteratively refine depth measurements. By comparing initial depth estimates with circle of confusion compensation models, the system adjusts and corrects depth values for far objects, ensuring accurate measurements even when near objects are present in the scene
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively resolves depth data interference by compensating for optical imperfections, ensuring accurate depth measurements even in scenarios with near and far objects.
Implementation Method 1
The sensor generates image data according to the reflected light
Implementation Method 2
light rays passing through a lens or lenses cannot converge on a focus. The non-ideal focusing caused by a near object may usually interfere with scanning devices' ability to determine the depth of a far object
Data Source
AI summary
A three-dimensional (3D) scanning system includes a projector that generates an emitted light projected on an object, a reflected light being reflected from the object; a sensor that generates image data according to the reflected light; and a depth processor that generates depth data according to the image data and at least one modified factor representing corresponding deviation amount between the image data and an ideal image data due to a circle of confusion caused by the reflected light passing a lens of the sensor and then irradiating a sense plane of the sensor out of focus.