3D Image Generation Using Positional Offset Correction
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Solution Overview
Problem
Conventional image capture devices produce two-dimensional images, and there is a need for methods and systems to generate three-dimensional images using these devices, as well as to aid users in selecting appropriate image capture positions and alter the perceived depth in three-dimensional images.
Innovation Solution
The method involves using a processor and image capture devices to capture real-time and still images, determine image properties, calculate positional offsets, and correct images for camera shifts and tilts to generate three-dimensional images. This includes identifying stereoscopic pairs, rectifying images, and adjusting parallax to create high-quality three-dimensional images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional two-dimensional image capture devices are used, then device simplicity and ease of operation are maintained, but the ability to generate three-dimensional images with depth perception is lost
Solution Approach 1:
The patent enables conventional two-dimensional image capture devices to perform both traditional 2D imaging and 3D image generation functions. By capturing multiple images from different positions and processing them through image pairing and rectification algorithms, the device achieves multi-functionality without requiring specialized 3D hardware, thus maintaining device simplicity while gaining 3D capabilities.
Solution Approach 2:
The patent transforms two-dimensional images into three-dimensional visual experience by capturing images from multiple positions (adding spatial dimension) and processing them to create stereoscopic pairs. This dimensionality change is achieved through computational methods rather than hardware modification, allowing 2D devices to produce 3D effects.
2Measurement precision
If multiple images are captured from different positions to generate three-dimensional images, then depth perception quality is improved, but the complexity of selecting appropriate capture positions and processing images increases
Solution Approach 1:
The system performs self-service by automatically determining whether captured images form valid stereoscopic pairs, automatically rectifying images to compensate for camera motion, and automatically selecting appropriate image pairs for 3D generation. This automation eliminates the need for manual intervention in complex processing tasks, reducing operational complexity while maintaining high depth perception quality.
Solution Approach 2:
The patent incorporates feedback mechanisms where the system analyzes captured images to determine their suitability for 3D generation, adjusts processing parameters based on image characteristics, and validates the resulting stereoscopic pairs. This feedback loop ensures optimal depth perception quality while automating the complex selection and processing steps.
3Manufacturing precision
If images are corrected for camera shifts and tilts, then three-dimensional image quality is improved, but processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary rectification of images immediately after capture, correcting for camera shifts and tilts before the 3D image generation process. By addressing correction needs early in the workflow, the system prevents accumulation of errors and reduces the computational burden on subsequent processing steps, thereby improving 3D image quality without excessive time loss.
Data Source
AI summary
Disclosed herein are methods, systems, and computer-readable storage media for generating three-dimensional (3D) images of a scene. According to an aspect, a method includes capturing a real-time image and a first still image of a scene. Further, the method includes displaying the real-time image of the scene on a display. The method also includes determining one or more properties of the captured images. The method also includes calculating an offset in a real-time display of the scene to indicate a target camera positional offset with respect to the first still image. Further, the method includes determining that a capture device is in a position of the target camera positional offset. The method also includes capturing a second still image. Further, the method includes correcting the captured first and second still images. The method also includes generating the three-dimensional image based on the corrected first and second still images.