Panoramic Image Jump Position Determination
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Solution Overview
Problem
The existing methods for determining jump positions between panoramic images in virtual roaming are inefficient and often result in significant changes to the user's viewing angle, affecting the overall experience.
Innovation Solution
A method and apparatus that automatically determine jump locations by adjusting and feature-extracting panoramic images based on camera posture data, selecting pairs of image columns with similar features to set accurate navigation points, ensuring a consistent viewing angle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual selection of jump locations is used, then flexibility in setting navigation points is maintained, but efficiency is seriously reduced and viewing angle consistency cannot be ensured
Solution Approach 1:
The system performs self-service by automatically determining jump locations through image processing and feature matching algorithms. The computer executes the adjustment process and feature extraction autonomously without requiring manual intervention, thereby dramatically improving efficiency while maintaining high accuracy through systematic image column comparison and similarity calculation
Solution Approach 2:
The patent replaces the manual mechanical process of selecting jump locations with an automated computational system. The computer-based image processing system substitutes human operators, using algorithmic feature extraction and similarity measurement to objectively determine optimal jump locations, thereby eliminating the inefficiency and subjectivity of manual selection
2Ease of operation
If inappropriate jump locations are selected, then setting process is simplified, but viewing angle changes greatly affecting user experience
Solution Approach 1:
The system implements feedback by calculating similarity values between image columns and using this information to guide the selection of jump locations. The computer compares feature extraction results, identifies pairs with high similarity, and automatically determines jump positions that maintain viewing angle consistency, thereby ensuring quality outcomes while simplifying the operational process
Solution Approach 2:
The patent changes the parameter of jump location determination from subjective manual selection to objective parameter-based selection. By using image column similarity as a quantitative parameter, the system automatically identifies locations that maintain consistent viewing angles, thereby improving manufacturing precision while maintaining ease of operation through automated parameter optimization
Data Source
AI summary
Disclosed are a panoramic image based jump position determination method and apparatus. The method includes steps of obtaining first and second original panoramic images having the same horizontal width; performing, based on posture data of cameras respectively shooting the two original panoramic images, an adjustment process on at least one of the two original panoramic images, so as to acquire first and second panoramic images; after the adjustment process, conducting a feature extraction process regarding the two panoramic images, and choosing, based on a result of the feature extraction process, a plurality of pairs of image columns on the two panoramic images, so as to select at least one pair of first image columns from among the plurality of pairs of image columns; and determining, based on the at least one pair of first image columns, jump positions on the first and second panoramic images for jumping between the two.