Object Visualization Using Image Recognition
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Solution Overview
Problem
Existing image processing methods are limited in their ability to display additional information about movable objects or objects not tied to the terrain, requiring accurate position and direction data from GPS and compass systems, which are not reliable, especially in complex conditions.
Innovation Solution
An object visualization method that captures digital images, uses electronic memory to store additional information elements associated with objects, and recognizes objects based on their shape, color, and texture, calculating their coordinates and displaying relevant information directly on the image, without relying on terrain maps or navigation systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS and compass systems are used to obtain position and direction data for displaying additional information, then the method can visualize landmark information on terrain images, but the accuracy is insufficient especially in conditions of elevation difference or urban conditions
Solution Approach 1:
The patent replaces the mechanical navigation system (GPS and compass) with a computer vision-based object recognition system. Instead of relying on GPS coordinates and compass directions to locate objects, the system uses image processing algorithms to detect and recognize objects directly within the captured image frames, thereby eliminating the accuracy limitations of GPS in urban and elevated conditions.
Solution Approach 2:
The patent introduces an intermediary object recognition system that acts as a mediator between the captured image and the displayed additional information. Rather than directly using GPS coordinates to map information to locations, the system uses object detection and recognition as an intermediary step to identify objects and their positions within the image, providing more reliable localization independent of GPS accuracy.
2Adaptability or versatility
If the known method is used to visualize additional landmark information, then terrain mapping can be performed, but it cannot be used to display additional information about movable objects or objects not tied to the terrain
Solution Approach 1:
The patent implements a dynamic object tracking system that can follow movable objects across multiple video frames. The system uses object detection in current frames combined with tracking algorithms to maintain object identity and position over time, enabling the visualization of movable objects that change position between frames, unlike static terrain-based methods.
Solution Approach 2:
The patent creates a universal object visualization system that can handle both static terrain features and movable objects within the same framework. By using general object detection and recognition techniques rather than terrain-specific methods, the system achieves multi-functionality, adapting to different object types and movement patterns while maintaining consistent performance.
3Measurement precision
If object recognition based on image data is implemented, then accurate object localization can be achieved, but computational complexity increases
Solution Approach 1:
The patent segments the object recognition process into distinct stages: detection phase (identifying potential object locations), recognition phase (confirming object identity using stored image data), and tracking phase (following object movement). This segmentation allows the system to apply different computational strategies to each stage, reducing overall complexity while maintaining high localization accuracy through the coordinated operation of specialized sub-processes.
Data Source
AI summary
The invention relates to the field of information technologies and computer technology, and specifically to the processing and generation of image data, and to the processing of images for computer graphics. An entity visualization method consists in capturing a digital image, receiving units of additional information from an electronic memory which stores a plurality of units of additional information, and displaying at least one unit of the plurality of additional information units, superimposing same onto the digital image; the electronic memory also stores data related to representations of corresponding entities; in each captured image frame, at least one entity is detected and recognized using the entity representation data received from electronic memory; computing the coordinates of the detected entity on the captured image, and displaying at least one unit of additional information in direct proximity to the corresponding entity on the captured image, which is output to a display.