Hemispherical Visible Light-Depth Image 3D Modeling
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Solution Overview
Problem
Current three-dimensional modeling using cameras with limited field of view is inefficient and inaccurate, requiring multiple image capture units and manual positioning, which limits the accuracy and efficiency of depth detection and feature information availability.
Innovation Solution
The use of hemispherical or spherical visible light-depth images, captured using a combination of visible light sensors and non-visible light projectors, to generate perspective-converted images for improved three-dimensional modeling, reducing the need for multiple images and image stitching operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If cameras with limited field of view are used for three-dimensional modeling, then device complexity is reduced, but measurement precision and productivity deteriorate due to requiring multiple image capture units and manual positioning
Solution Approach 1:
The patent employs a hemispherical or spherical camera lens configuration that captures 180 degrees or more of the field of view, enabling single-unit three-dimensional modeling. This curved optical system replaces multiple conventional cameras by providing omnidirectional coverage through its spherical geometry, thereby improving depth detection accuracy while reducing device complexity
2Productivity
If cameras with limited field of view are used for three-dimensional modeling, then device complexity is reduced, but productivity deteriorates due to requiring multiple images and image stitching operations
Solution Approach 1:
The hemispherical/spherical lens captures a 180-degree or greater field of view in a single image, eliminating the need for multiple cameras and stitching operations. This curved optical system provides omnidirectional coverage that enables immediate three-dimensional modeling from one captured image, thereby improving productivity without increasing device complexity
3Measurement precision
If hemispherical or spherical visible light-depth images are used, then measurement precision and productivity are improved, but device complexity increases due to requiring non-visible light projectors and sensors
Solution Approach 1:
The patent combines visible light imaging and non-visible light depth sensing into a single integrated camera unit with hemispherical/spherical lens. This merging of multiple functional components (visible light sensor, non-visible light projector, non-visible light sensor) into one unified device achieves high depth detection accuracy while avoiding the complexity of separate multi-component systems
4Loss of information
If hemispherical or spherical visible light-depth images are used, then feature information availability is improved, but device complexity increases due to requiring non-visible light projectors and sensors
Solution Approach 1:
The integrated hemispherical/spherical camera unit merges visible light imaging capabilities with non-visible light depth sensing in a single device. This combination captures both visual features and depth information simultaneously across 180 degrees or more of the field of view, maximizing feature information availability without requiring separate imaging systems
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances the speed, accuracy, and feature information availability in three-dimensional modeling by utilizing fewer images and improving depth detection capabilities, especially in panoramic or spherical scenes.
Implementation Method 1
controlling the hemispherical or spherical non-visible light projector to project a hemispherical or spherical non-visible light static structured light pattern
Implementation Method 2
controlling the hemispherical or spherical non-visible light sensor to obtain a hemispherical or spherical non-visual light depth image
Data Source
AI summary
Three-dimensional modeling includes obtaining a hemispherical or spherical visible light-depth image capturing an operational environment of a user device, generating a perspective converted hemispherical or spherical visible light-depth image, generating a three-dimensional model of the operational environment based on the perspective converted hemispherical or spherical visible light-depth image, and outputting the three-dimensional model. Obtaining the hemispherical or spherical visible light-depth image includes obtaining a hemispherical or spherical visual light image and obtaining a hemispherical or spherical non-visual light depth image. Generating the perspective converted hemispherical or spherical visible light-depth image includes generating a perspective converted hemispherical or spherical visual light image and generating a perspective converted hemispherical or spherical non-visual light depth image.