Image Manifold Rendering for Fluid 3D Navigation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image visualization technologies are non-intuitive and complex when navigating sets of images depicting scenes from various viewpoints, making it difficult for users to seamlessly transition between images, especially in 3D and aerial visualizations.
Innovation Solution
The architecture extracts and arranges images into one-dimensional (1D) and two-dimensional (2D) image manifolds, or 'synth' packets, enabling fluid translation and interactive navigation by using visualization templates such as walk, wall, or spin manifolds, allowing users to seamlessly move through images as if they were part of a continuous, photorealistic environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If images are organized as traditional photo albums or panoramas, then images can be stored and viewed, but navigation becomes non-intuitive and overly complex
Solution Approach 1:
The patent segments the complex 3D visualization into discrete 2D image manifolds (walk manifolds, wall manifolds, spin manifolds, panorama manifolds). Each manifold represents a specific type of navigation path and contains images arranged in a linear or 2D sequence, making the overall complex 3D environment manageable through simpler, standardized 2D slices that are easier to navigate and interpret
Solution Approach 2:
The patent transitions from 3D image navigation to 2D manifold navigation. By projecting 3D scenes onto 2D manifolds and arranging images in two-dimensional sequences, the system reduces the navigational complexity while preserving the essential visual information. This dimensional reduction makes the interface more intuitive for users while maintaining the richness of the original 3D content
2Ease of operation
If images are arranged to enable fluid translation between them, then navigation becomes seamless, but image arrangement and preparation become complex
Solution Approach 1:
The patent performs preliminary arrangement and preparation of images into manifolds before the user needs to navigate them. Images are pre-sorted, pre-arranged, and pre-optimized for fluid translation within each manifold type. This preliminary organization eliminates the need for complex real-time arrangement during navigation, achieving smooth transitions without adding operational complexity
Solution Approach 2:
The patent changes the parameters of image arrangement based on the specific manifold type. Different manifold types (walk, wall, spin, panorama) have different arrangement parameters optimized for their specific navigation purposes. By adjusting these parameters during the preparation phase, the system achieves fluid translation for each manifold type without requiring complex dynamic adjustment during user interaction
Data Source
AI summary
Architecture that extracts (analyzes and selects) a set of images from repositories or sources imagery to create one-dimensional (1D) and two-dimensional (2D) image manifolds (or image packets—also referred to as “synth” packets). The repositories of map imagery can include aerial views and terrestrial views (from points on the earth surface). The manifolds facilitate fluid translation between manifold images thereby providing a fluid user interactive navigation experience for viewing the location.