3D Attention Zone Generation from Single-Camera Gaze Triangulation
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Solution Overview
Problem
Existing gaze direction detection methods require additional sensors to define geometric attention zones in three-dimensional space, necessitating multiple image acquisition units and complicating the setup.
Innovation Solution
A computer-implemented method using a single image recording unit, data processing unit, and database to create geometric attention zones by triangulating gaze direction vectors from multiple positions, eliminating the need for additional sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If additional sensors are used to define geometric attention zones, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent combines the functions of multiple sensors into a single image recording unit. By using a single camera to capture images from multiple positions and combining these measurements through triangulation, the system achieves accurate attention zone definition without requiring multiple separate sensors, thus reducing device complexity while maintaining measurement precision
Solution Approach 2:
The single image recording unit performs multiple functions: it captures images from different positions, extracts gaze direction vectors, and enables triangulation to define three-dimensional attention zones. This multi-functional approach eliminates the need for additional specialized sensors while achieving the same measurement objectives
2Reliability
If multiple image acquisition units are used to record both person and field of vision, then reliability is improved, but device complexity increases
Solution Approach 1:
The system merges the functions of multiple image acquisition units into a single camera. By capturing images from multiple predetermined positions and using triangulation to process these images, the system achieves reliable gaze direction detection and field of vision recording without requiring multiple separate cameras, thus reducing device complexity while maintaining reliability
Solution Approach 2:
The patent introduces a computational intermediary process (triangulation algorithm) that processes images from a single camera taken at different positions. This computational mediator enables the system to achieve the reliability of multiple cameras while using only one physical image acquisition unit, thereby reducing hardware complexity
3Measurement precision
If additional sensors are installed next to or behind the person, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The system uses the person's own images, captured by a single camera from multiple positions, to automatically define their attention zones through triangulation. This self-service approach eliminates the need for additional sensors to be installed next to or behind the person, making the system easier to set up and operate while maintaining measurement precision
Solution Approach 2:
The patent performs preliminary image capture from multiple predetermined positions before the actual gaze detection process. These preliminary images are stored and used for triangulation to define attention zones, enabling accurate measurement without requiring complex real-time sensor arrangements or additional sensors during operation
Data Source
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Figure 3a~3b
AI summary
The invention relates to a computer-implemented method for generating a geometric zone of attention (1) for at least one person in a three-dimensional space (2), comprising a single image recording unit (3), a data processing unit (4), a data bank (5) and a display unit (6), as well as a computer-readable storage medium, and a device for carrying out such a method.