Fisheye Camera Segmentation with Directional Movement Indicators
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Solution Overview
Problem
Omni-directional network cameras with fisheye lenses capture distorted images, making it difficult to recognize the positional relationship between the fisheye image and the segmented image, which is addressed by displaying additional lines indicating the direction of movement of the segmentation position.
Innovation Solution
An information processing system that includes a camera server and a viewer client, where the camera server processes image data from a fisheye lens camera and generates segmented images, and the viewer client displays these images with superimposed marks indicating the direction of movement of the segmentation position, such as pan and tilt additional lines, to facilitate intuitive recognition of the image relationships.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a fisheye lens is used to capture 360 degree view, then the field of view coverage is improved, but the image distortion increases making monitoring applications unsuitable
Solution Approach 1:
The fisheye image is divided into multiple segmented images, each covering a specific direction (up, down, left, right, center). This segmentation allows each individual image to have reduced distortion while maintaining the overall 360-degree coverage capability of the fisheye lens.
Solution Approach 2:
Different regions of the fisheye image are processed differently to create segmented images with optimized local quality. Each segmented image is dewarping-processed to reduce distortion in its specific directional view, while the complete fisheye image retains its full coverage capability.
2Manufacturing precision
If segmented image and fisheye image are displayed side by side, then the less-distorted view is provided, but the positional relationship recognition becomes difficult
Solution Approach 1:
Direction indication marks are introduced as intermediary visual elements that bridge the segmented image and fisheye image. These marks (arrows, lines, or icons) indicate the directional correspondence between the segmented view and its location in the complete fisheye image, enabling users to understand the positional relationship without confusion.
3Ease of operation
If pan-tilt operations are performed on segmented image, then the monitoring target tracing capability is improved, but the positional relationship recognition between images deteriorates
Solution Approach 1:
Direction indication marks are superimposed on the segmented image to serve as visual mediators that show the relationship between pan-tilt operations and the corresponding movements in the fisheye image. When users perform pan or tilt operations, the marks update to reflect the new directional relationship, maintaining positional awareness throughout the operation.
Solution Approach 2:
The direction indication marks provide real-time feedback to users during pan-tilt operations. As the segmentation position changes, the marks dynamically update to show the new directional correspondence, giving users immediate feedback about how their operations affect the viewed position in the complete fisheye image.
Data Source
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AI summary
An information processing apparatus (110, 120) displays an image relating to image data captured by image capturing means (231) and includes first display control means (430) that superimposes a first object on the image, the first object indicating a position corresponding to a partial image corresponding to a part of the image captured by the image capturing means (231), and second display control means (430) that superimposes a second object on the image, the second object indicating a direction for enabling a position of the partial image to be moved on the image.