Depth Image 2D Shape Recognition Through 3D Coordinate Projection
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Solution Overview
Problem
Existing image processing technologies struggle with accurately recognizing targets due to variations in image capture angles and target colors, leading to inconsistent target recognition and localization.
Innovation Solution
An image processing method and apparatus that projects three-dimensional points to a two-dimensional coordinate system to determine a minimum circumscribed target graphic, such as a circle, and maps this graphic's center and radius to a three-dimensional coordinate system for precise target recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional image processing methods are used for target recognition, then the process is simpler, but recognition accuracy deteriorates due to variations in image capture angles and target colors
Solution Approach 1:
The patent transitions from two-dimensional image processing to three-dimensional spatial coordinate processing. By establishing a three-dimensional coordinate system and processing spatial coordinates rather than pixel values, the method achieves angle-invariant target recognition. The depth information from the depth image is converted into three-dimensional coordinates, adding a spatial dimension that eliminates the impact of capture angles on recognition accuracy.
Solution Approach 2:
The patent changes the processing parameters from color-based pixel values to spatial coordinate values. By using three-dimensional spatial coordinates (x, y, z) derived from depth information instead of color-dependent RGB values, the system achieves recognition that is invariant to target color variations. This parameter transformation fundamentally resolves the sensitivity to color changes while maintaining processing feasibility.
2Measurement precision
If three-dimensional coordinate processing is used for accurate target recognition, then recognition accuracy improves, but processing complexity increases
Solution Approach 1:
The patent replaces complex geometric and algebraic coordinate transformation calculations with a simplified projection model. Instead of performing full three-dimensional to two-dimensional coordinate system transformations with rotation and translation matrices, the method directly projects three-dimensional spatial coordinates onto a two-dimensional plane using a simplified projection formula, significantly reducing computational complexity while maintaining localization precision.
Solution Approach 2:
The patent extracts only the essential depth information from the depth image to construct three-dimensional coordinates, rather than processing the entire image data. By selectively extracting depth values at target points and converting them to three-dimensional coordinates, the method reduces the volume of data to be processed while achieving accurate target localization.
3Reliability
If depth information is used to create three-dimensional images, then target recognition becomes angle-invariant, but data processing time increases
Solution Approach 1:
The patent performs preliminary processing by directly obtaining depth information from the depth image and converting it to three-dimensional coordinates before target recognition. This preliminary transformation of depth data into spatial coordinates establishes an angle-invariant representation early in the process, eliminating the need for subsequent angle normalization or multiple view processing, thereby reducing overall processing time.
Solution Approach 2:
The patent replaces time-consuming full three-dimensional coordinate transformation with a simplified projection approach. By using direct projection formulas that map three-dimensional depth coordinates to two-dimensional recognition space without complex rotation and translation calculations, the method significantly reduces processing time while preserving the angle-invariant properties provided by the depth information.
Data Source
AI summary
The present disclosure provides an image processing method and apparatus, an electronic device, and a computer-readable storage medium. The method includes: obtaining a first three-dimensional image of a target object in a three-dimensional coordinate system; determining a target plane of the target object in the first three-dimensional image, the target plane comprising target three-dimensional points; projecting the target three-dimensional points to a two-dimensional coordinate system defined on the target plane, to obtain target two-dimensional points; determining a target polygon and a minimum circumscribed target graphic of the target polygon according to the target two-dimensional points; and recognizing the minimum circumscribed target graphic as a first target graphic of the target object in the first target three-dimensional image.