Building Texture Extraction via Aerial-Panoramic Projection
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Solution Overview
Problem
Conventional technologies face challenges in efficiently analyzing and extracting building textures from aerial and panoramic images, leading to a complicated, time-consuming, and costly mapping process for 3D building models, resulting in non-uniform tones.
Innovation Solution
A building texture extracting apparatus and method that uses a processor to define edge line segments in aerial images, calculate edge line functions, project these onto panoramic images, and capture sub-images under edge curve segments to automatically extract building textures, utilizing a coordinate correlation between the two image types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If manual projection of building textures from multiple aerial images and panoramic images is used, then the mapping process can be completed, but the process becomes very complicated, time-consuming and costly
Solution Approach 1:
The patent replaces the manual mechanical process of projecting building textures with an automated image processing system. The processor automatically identifies building boundaries in aerial images, projects them onto panoramic images, extracts building textures, and maps them to 3D models without manual intervention, thereby eliminating the complicated and time-consuming manual mapping process
Solution Approach 2:
The system performs self-service by automatically completing the entire building texture mapping workflow. The processor independently executes boundary detection, image projection, texture extraction, and mapping operations without requiring human operators to manually project each texture, making the system self-sufficient and dramatically reducing both complexity and time
2Area of stationary object
If building textures are formed from a plurality of images taken at different orientations, then comprehensive building coverage is achieved, but it becomes difficult to determine which images shall be kept or discarded, causing non-uniform tones
Solution Approach 1:
The patent applies local quality by selecting and using only the specific portions of images that are relevant to each building. The processor identifies building boundaries and extracts only the image regions that correspond to each building's actual coverage area, ensuring that each building uses appropriate image portions with consistent tones rather than combining unrelated regions from multiple orientations
Solution Approach 2:
The system extracts only the necessary building texture information from the plurality of images. By identifying building boundaries and projecting them onto panoramic images, the system extracts precisely the image portions needed for each building, discarding irrelevant regions and ensuring tone uniformity through selective extraction rather than comprehensive use of all available images
Data Source
AI summary
A building texture extracting apparatus and a method thereof are provided, wherein the building texture extracting apparatus comprises a storage unit and a processor. The storage unit is configured to store an aerial image and a panoramic image of a building. There is a coordinate correlation between the aerial image and the panoramic image. The processor defines an edge segment of a building in the aerial image, calculates an edge function according to the edge segment, projects the edge function onto the panoramic image according to the coordinate correlation to derive an edge curve function, decides an edge curve segment according to the edge curve function, captures an image area under the edge curve segment to be a building texture of the building, and stores the building texture in the storage unit.