Plant Organ Point Cloud Division via Flatness and Tracking
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Solution Overview
Problem
Traditional methods for dividing plant organ point clouds based on geometric and topological structures are inaccurate due to the continuous growth and movement of plants, leading to errors in monitoring and quantizing plant growth events.
Innovation Solution
A method and system that acquire point cloud frames at multiple plant growth times, divide them into lamina and stem point cloud blocks using flatness features, and adjust divisions by tracking back and redividing based on changes in block numbers to maintain consistency and improve accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional geometric and topological structure-based division method is used, then the division process is simple, but the division accuracy deteriorates due to plant growth and movement causing structure changes
Solution Approach 1:
The patent performs preliminary division on the first point cloud frame F1 to obtain initial organ blocks before processing subsequent frames. This preliminary action establishes a reference basis for tracking and comparing changes in later frames, enabling accurate detection of growth and movement without requiring complex real-time analysis of every frame independently
Solution Approach 2:
The patent uses the organ blocks from the previous frame Ft-1 as feedback reference to guide the division and tracking of the current frame Ft. By comparing the number and positions of blocks between consecutive frames, the system can identify growth events, movement, and structural changes, thereby improving division accuracy through iterative refinement
2Stability of the object's composition
If point cloud frames are divided independently without reference to adjacent frames, then the division process is fast, but the consistency between frames deteriorates leading to errors in growth event detection
Solution Approach 1:
The system performs preliminary division on the first frame to establish initial organ blocks, then uses these blocks as references for subsequent frames. This preliminary establishment of structure enables efficient tracking without requiring complete redivision of each frame, maintaining consistency while reducing processing time
Solution Approach 2:
The patent copies the organ block information from the previous frame Ft-1 and uses it as a template for tracking in the current frame Ft. By comparing the copied reference blocks with the current frame data, the system maintains temporal consistency and detects changes efficiently without processing each frame from scratch
3Measurement precision
If tracking back and redivision is not performed, then the processing efficiency is high, but the detection of new organ blocks deteriorates
Solution Approach 1:
The patent introduces the number of organ blocks as an intermediary indicator to detect changes between frames. By comparing the block count in consecutive frames, the system identifies when redivision is necessary to capture new growth, avoiding unnecessary redivision in stable frames while ensuring detection when growth occurs
Solution Approach 2:
The system monitors changes in the number of organ blocks as a key parameter between frames. When the block count changes (indicating growth or structural change), the system triggers tracking back and redivision to maintain accuracy. This parameter-based control balances detection capability with processing efficiency by activating intensive processing only when necessary
Data Source
AI summary
Disclosed are a method and system for dividing a plant organ point cloud. According to information about lamina point cloud blocks and stem point cloud blocks in a previous adjacent point cloud frame of a point cloud frame to be divided and a flatness feature of a data point of the point cloud frame to be divided, a point cloud of the point cloud frame to be divided is divided into lamina point cloud blocks and stem point cloud blocks; taking the adjacent point cloud frame as a reference to divide the point cloud frame facilitates the divided organ in maintaining the consistency of time and space between adjacent point cloud frames, and improves the accuracy of plant organ division. When a new lamina point cloud block or a stem point cloud block is discovered, the point cloud in the point cloud frame before the point cloud block to be divided is redivided through tracking back; when redividing, according to information about the lamina point cloud blocks and the stem point cloud blocks in the next adjacent point cloud frame, the point cloud frame to be redivided is divided; and the redivision during tracking back facilitates extracting, from the point cloud frame, a new lamina point cloud block or a stem point cloud block which was not discovered in the previous division process, thereby further improving the accuracy of plant organ division.