3D Stereoscopic Unit Detection Without Camera Intrinsic Parameters
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Solution Overview
Problem
Existing methods for determining three-dimensional information of stereoscopic units in images require camera intrinsic parameters, which are difficult to obtain and limit adaptability to different scenarios, making it challenging to accurately determine depth information.
Innovation Solution
A method that processes images to obtain frame information of stereoscopic units, allowing for the determination of three-dimensional information without relying on external reference information like camera intrinsic parameters, using the imaging rule of stereoscopic units on an object's surface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If camera intrinsic parameters are used to determine three-dimensional information, then measurement precision can be improved, but device complexity and difficulty of operation increase due to the need for obtaining and managing external reference information
Solution Approach 1:
The photographed object itself serves as the reference standard. By capturing images of the object from multiple angles and using its own geometric features (edges, contours, surfaces) as reference, the system eliminates the need for external camera intrinsic parameters. The object's self-geometry provides the basis for three-dimensional reconstruction without requiring additional reference devices or parameters.
Solution Approach 2:
The photographed object acts as an intermediary between the camera and the three-dimensional information determination process. Instead of directly using camera intrinsic parameters, the system uses the object's visual features in the image as an intermediate reference that can be processed to derive three-dimensional information, thereby avoiding the complexity of camera parameter management.
2Measurement precision
If camera intrinsic parameters are required for determining three-dimensional information, then measurement precision can be maintained, but adaptability to different scenarios deteriorates
Solution Approach 1:
The method using the photographed object's self-geometry as reference is universally applicable across different scenarios, objects, and camera types. Unlike camera intrinsic parameters that are specific to each camera device, the object-based reference method can be applied to any photographed object with distinguishable geometric features, making the system versatile and adaptable to various applications without requiring camera-specific calibration.
Solution Approach 2:
Each photographed object serves as its own reference standard, enabling the system to adapt to different scenarios automatically. The method does not require pre-calibration or camera-specific parameters, allowing it to work with any object that has detectable geometric features, thereby achieving high scenario adaptability while maintaining measurement precision.
3Measurement precision
If external reference information such as camera intrinsic parameters is obtained, then three-dimensional information determination can be performed, but loss of time occurs due to the additional step of obtaining reference information
Solution Approach 1:
The system performs preliminary action by using the photographed object's geometric features that are already present in the captured image as reference information. Instead of requiring a separate step to obtain camera intrinsic parameters, the method utilizes the object's own visual features (edges, contours, surfaces) that are inherently available in the photograph, thereby eliminating the time-consuming parameter acquisition step while maintaining determination accuracy.
Solution Approach 2:
The photographed object provides its own reference information through its geometric features visible in the image. This self-service approach eliminates the need for external reference data acquisition, allowing the system to directly proceed with three-dimensional information determination using only the captured image and the object's inherent geometric properties, thus saving time.
Data Source
AI summary
A method for determining three-dimensional information of an object is performed by a computer device. The method includes: obtaining an image of an outer surface of a photographed object, the outer surface of the photographed object having n protruding stereoscopic units, and n being a positive integer; processing the image, to obtain frame information of at least one stereoscopic unit, the frame information including a first surface and a second surface of the stereoscopic unit in the image, the first surface being parallel to the second surface; and determining three-dimensional information of the stereoscopic unit based on the frame information of the stereoscopic unit, the three-dimensional information representing a position of the stereoscopic unit in the image and a protrusion degree of the stereoscopic unit in a direction perpendicular to the outer surface. This method helps reduce difficulty in obtaining three-dimensional information of a stereoscopic unit.