Rotatable Image Sequencing With Consistent Perspective Indexing
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Solution Overview
Problem
Existing image rendering technologies face discrepancies when rotating static images in sequences, leading to confusion due to inconsistent perspectives, hindering the effectiveness of step-by-step tutorials and similar applications.
Innovation Solution
A system and method for sequencing rotatable images, where an image database stores parallel sequences of images from unique common perspectives, allowing users to dynamically select and maintain a consistent view angle through a content module, enabling 360-degree rotation and synchronization of images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users selectively rotate static images before moving to subsequent images, then users can view images from different perspectives, but perspective inconsistencies arise between successive images causing confusion
Solution Approach 1:
The system pre-organizes images into multiple view sets, each representing a consistent perspective point, before user interaction. When users rotate to a new perspective, the system automatically retrieves and displays images from the corresponding pre-prepared view set, ensuring perspective consistency without requiring users to manually adjust each image.
Solution Approach 2:
The system introduces an intermediary indexing mechanism (view indexes and frame indexes) that mediates between user rotation actions and image display. This intermediary layer tracks the current perspective point and automatically synchronizes subsequent image displays to match the selected viewpoint, preventing perspective inconsistencies.
2Adaptability or versatility
If multiple view sets with unique perspectives are implemented, then users can dynamically select perspective points, but system complexity increases due to multiple indexes and image collections
Solution Approach 1:
The system segments the image collection into distinct view sets, each representing a specific perspective point. Each view set is independently indexed with view indexes and frame indexes, allowing the system to manage complexity by dividing the large image database into smaller, organized units that can be independently accessed and manipulated.
Solution Approach 2:
The system adds dimensional organization to the image database by introducing view indexes as an additional indexing dimension beyond traditional frame indexes. This multi-dimensional indexing structure (view index × frame index) allows efficient navigation through perspectives and sequences without linearly increasing overall system complexity.
Data Source
AI summary
A system and method for sequencing rotatable images are disclosed. In at least one embodiment, an image database contains an at least one image collection comprising a plurality of view sets. The view sets each comprise a parallel sequence of images that depicts the same sequentially formatted subject matter as the other view sets in the image collection, but from a unique common perspective point. A unique view index is assigned to each view set in the at least one image collection, while a unique frame index is assigned to each image within each view set. Using these view and frame indices, the content module allows the user to dynamically and selectively choose the common perspective point at which to view the sequentially formatted subject matter at any step in the sequence of images, thereby providing a 360 degree, selectively rotatable view of the subject matter.