Map Image Generator for Digital Camera Subject Identification
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Solution Overview
Problem
Existing digital camera systems struggle to identify and distinguish multiple subjects within a captured image field, especially when they are close to each other, as they rely on camera position, azimuth, and distance detection, which is inconvenient for capturing and displaying multiple subjects simultaneously.
Innovation Solution
A map display system integrated with a digital camera that generates a map image based on additional information including camera location, orientation, and focal distance, allowing for the display of subject names and symbols, enabling clear identification of each subject by overlaying a map image with the captured image, with adjustable display magnification and view angle representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If subject identification is based on camera position, azimuth, and distance detection, then the system can identify single subjects, but it cannot distinguish multiple subjects in the image capture field
Solution Approach 1:
The patent transitions from three-dimensional spatial detection (position, azimuth, distance) to two-dimensional map image coordinate system. By projecting the capture field onto a map image with latitude and longitude coordinates, the system can distinguish multiple subjects by their different positions on the map plane, even when they share similar spatial detection values.
Solution Approach 2:
The patent creates a map image copy of the capture field, displaying map symbols and names at their actual geographic positions. This map copy serves as a reference layer that enables identification of multiple subjects by their distinct map locations, overcoming the limitation of direct spatial detection methods.
2Loss of information
If map image is generated using GPS position and azimuth data, then the map can show camera location and orientation, but it cannot accurately represent the focal distance and view angle
Solution Approach 1:
The patent adjusts the map image display parameters based on focal distance. When focal distance changes, the system modifies the map image size, position, and scale to accurately represent the changed view angle. This dynamic parameter adjustment ensures that the map image always correctly reflects the current capture field boundaries regardless of focal distance.
3Loss of information
If the map image displays all map symbols and names, then complete spatial information is provided, but the display becomes cluttered and hard to read
Solution Approach 1:
The patent applies different display qualities to different regions of the map image. Map symbols and names within the capture field boundary are displayed with high visibility and detail, while those outside the boundary are either omitted or displayed with reduced prominence. This selective display approach maintains information completeness for relevant areas while improving overall readability.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables effective identification and naming of multiple subjects in a captured image by generating a map image that covers the camera's field of view, allowing for clear distinction and easy recognition of subjects, even when they are close together.
Implementation Method 1
The position detector identifies the location of the image capture device by receiving signals from GPS satellites
Data Source
AI summary
A digital camera receives position information from GPS satellites for detecting camera position when capturing an image. Additional information, which is composed of the camera position, camera azimuth and focal distance of the taking lens, is added to image data of the captured image as tag and recorded in an image file. When the captured image is reproduced, the map image generated according to the additional information is displayed below the captured image, covering an area from the image capture point toward the subject in the captured image. Field view lines and map symbols indicating the subjects are displayed in the map image. Further, the map image includes the extension line which passes the map symbol and is extended to the subject in the captured image for showing the correspondence between the map symbol and the subject.