Omnidirectional Camera Point-of-Interest View Synchronization
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Solution Overview
Problem
Existing image capturing devices struggle to allow real-time specification of a point of interest in omnidirectional images, particularly in applications like viewing real estate properties, where users and agents have difficulty synchronizing their views due to limitations in displaying and specifying parts of the omnidirectional image.
Innovation Solution
An image processing system that defines a point of interest in the image capturing device, converts it based on attitude information, and cuts out a viewable area including the point of interest for display, enabling real-time synchronization of views between users and agents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a dedicated viewer application is used to convert and display parts of the omnidirectional image, then the omnidirectional image can be displayed on typical planar displays, but real-time specification and synchronization of point of interest between users and agents becomes difficult
Solution Approach 1:
The system pre-processes the omnidirectional image by dividing it into multiple viewable areas and pre-identifying potential points of interest. When a user specifies a point of interest, the system can quickly retrieve and display the corresponding pre-prepared viewable area without requiring complex real-time processing, thus reducing synchronization time while maintaining ease of operation.
Solution Approach 2:
The omnidirectional image is segmented into multiple viewable areas with defined boundaries. Each viewable area contains metadata about its spatial location and characteristics. This segmentation allows the system to efficiently locate and display specific regions of interest without processing the entire omnidirectional image, enabling fast point of interest specification and view synchronization between users and agents.
2Area of stationary object
If the entire omnidirectional image is displayed, then all surrounding information is visible, but typical planar displays cannot display the entire spherical coordinate system image at one time
Solution Approach 1:
The omnidirectional image covering the entire spherical coordinate system is segmented into multiple viewable areas that can be displayed on typical planar displays. Each viewable area represents a portion of the surrounding environment, and the system provides mechanisms for users to navigate between these areas, ensuring that while the display area is limited, access to all surrounding information is maintained through systematic division and navigation.
Solution Approach 2:
The system transitions from displaying the entire omnidirectional image in spherical coordinates to displaying segmented portions in planar coordinates. By converting coordinates and dividing the spherical image into multiple planar viewable areas, the system adapts the three-dimensional omnidirectional content to two-dimensional display constraints while preserving access to all surrounding information through multi-area navigation.
3Measurement precision
If manual operation is required to specify points of interest in omnidirectional images, then users can identify specific areas, but communication and understanding between users and agents deteriorates due to synchronization difficulties
Solution Approach 1:
The system incorporates feedback mechanisms where when a user specifies a point of interest in one device, the system automatically converts the coordinates and displays the corresponding viewable area on other connected devices. This real-time feedback loop ensures that all users and agents see the same point of interest simultaneously, maintaining measurement precision while dramatically improving communication efficiency by eliminating manual synchronization operations.
Solution Approach 2:
The system introduces an intermediary coordinate conversion and viewable area selection mechanism that translates point of interest specifications from one device to another. This intermediary process automatically handles the complex coordinate transformations and area selections, allowing users to simply specify points of interest without worrying about synchronization, thus maintaining precision while improving ease of operation and communication efficiency.
Data Source
AI summary
An image capturing device includes an imaging device and circuitry. The imaging device captures an image. The circuitry defines a point of interest in the image, converts the defined point of interest in accordance with attitude information of the image capturing device, and cuts out a viewable area from the image. The viewable area includes the converted point of interest.