Zoomed-in Image Association with Panoramic Views
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Solution Overview
Problem
Existing systems that provide panoramic images struggle to seamlessly associate zoomed-in images with their corresponding areas within the panoramic view, often resulting in mismatched lighting conditions and features when captured at different times or by different devices.
Innovation Solution
A method and system that allow users to capture and associate zoomed-in images with panoramic images by receiving user input to identify specific areas, either manually or automatically using computer vision techniques, ensuring accurate placement and synchronization of images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If zoomed-in images are captured separately from panoramic images, then users can view detailed features, but lighting conditions and features may not match between the panoramic view and zoomed-in view
Solution Approach 1:
The system prompts users to capture a zoomed-in image immediately after capturing the panoramic image, while the scene's lighting conditions are still present and memorized. This preliminary capture ensures that the zoomed-in image reflects the same lighting environment as the panoramic image, resolving the contradiction between obtaining detailed views and maintaining lighting consistency.
2Measurement precision
If users manually select areas for zoomed-in images, then image association is accurate, but the process requires additional user input and time
Solution Approach 1:
The system automatically determines the correspondence between zoomed-in images and panoramic image areas using computer vision techniques. The processor autonomously analyzes image features, identifies matching regions, and establishes associations without requiring manual user selection, thereby maintaining high accuracy while minimizing user time investment.
3Adaptability or versatility
If multiple images are captured and stored, then users have more zoom options, but device storage and processing requirements increase
Solution Approach 1:
Instead of storing complete high-resolution copies of entire panoramic images for each zoom level, the system stores only the specific cropped regions corresponding to zoomed-in views. This approach provides multiple zoom options and maintains adaptability while significantly reducing the total image data volume required, as only relevant local portions are retained rather than redundant full-image copies.
Data Source
AI summary
In one aspect, one or more computing devices may capture a panoramic image. Panoramic images may refer to images having a field of view which is greater than that of the human eye, e.g., 180 degrees or greater. Some panoramic images may provide a 360-degree view of a location. In response to capturing the panoramic image, the one or more computing devices may provide for display a request for a non-panoramic, for example, a zoomed-in image. A zoomed-in image may be captured. An area of the panoramic image that corresponds to the zoomed-in image is determined by the one or more computing devices. The zoomed-in image is associated with the area by the one or more computing devices. In this regard, the panoramic image and the zoomed-in image may be taken close in time such that the images have the same or similar lighting conditions, scenes, etc.