Perception-Based Feature Selection in Geometric Models
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Solution Overview
Problem
Existing product systems lack efficient methods for perception-based selection of features in geometric models, leading to inefficiencies in creating, editing, and manipulating 2D or 3D models of parts.
Innovation Solution
A data processing system that utilizes a processor to determine displayed characteristics of a geometric model, such as size, orientation, and position, to make either a coarser or finer selection of features based on user perception, allowing for automatic selection of relevant features without manual filtering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual filtering of features is used in geometric model selection, then selection precision can be controlled, but operation time and complexity increase significantly
Solution Approach 1:
The system automatically determines displayed characteristics of geometric model features and performs selection based on user input location and perceived characteristics, eliminating the need for manual filtering. The processor autonomously analyzes feature properties such as size, orientation, and position relative to the user's selection point, and independently decides which features to select, making the system self-sufficient in the selection process.
Solution Approach 2:
The system changes the selection behavior based on determined displayed characteristics parameters. When a feature's displayed size is below a threshold, the system selects that feature; when above the threshold, it selects parent features instead. This dynamic parameter-based adjustment automates the selection process while maintaining precision adapted to the visual context.
2Productivity
If coarser selection is made to reduce manual filtering, then operation efficiency improves, but selection precision and relevance decrease
Solution Approach 1:
The system applies different selection granularities locally based on the determined displayed characteristics of features at the user's input location. Instead of uniformly applying coarse or fine selection across the entire model, it evaluates each feature's displayed size, orientation, and position independently and applies the appropriate selection level (coarser for large features, finer for small features) locally, maintaining both efficiency and relevance.
Solution Approach 2:
The selection granularity dynamically adjusts based on the determined displayed characteristics. The system transitions between coarser and finer selection modes depending on the scale and properties of features near the user's selection point, making the selection process adaptive and context-responsive rather than static.
3Measurement precision
If the system considers multiple displayed characteristics to improve selection accuracy, then computational complexity increases
Solution Approach 1:
The system extracts only the most relevant displayed characteristics (displayed size, orientation, and position) needed for perception-based selection, rather than analyzing all possible feature properties. This selective extraction of critical parameters reduces computational complexity while maintaining selection accuracy by focusing on the characteristics that most directly influence user perception and selection intent.
Data Source
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AI summary
A system (100) and method is provided that facilitates perception-based selection of features in a geometric model of a part. A processor (102) may cause a display device (110) to display a graphical representation (140) of a geometric model (120) of a part having a plurality of features (122, 124, 126, 128, 130) that are individually selectable in a work space (116) of a graphical user interface (118). The processor may receive a selection input (114) representative of a command to select one or more features of the geometric model, which selection input specifies an input location (138) on the workspace that coincides with a location on the geometric model. The processor may also determine at least one displayed characteristic capable of being visually perceived by a user that the geometric model or a portion thereof has with respect to the workspace in terms of size, orientation, and/or position. Also the processor may carry out a first selection from among either a coarser selection (132) of the features or a finer selection (134) of the features of the geometric model based on the input location and based on the determined at least one displayed characteristic of the geometric model or portion thereof.