Single Camera 3D Image Generation via Geometric Transformation
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Solution Overview
Problem
Existing methods for generating three-dimensional images require multiple cameras, a turntable, and additional devices like acceleration sensors, making the setup complex and cumbersome.
Innovation Solution
An image processing device and method that uses a single camera to generate three-dimensional images by allowing users to input and determine reference points for geometric transformation, eliminating the need for additional devices like turntables and acceleration sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If multiple cameras and support parts are used to place the object of interest at the center of each image, then the three-dimensional display quality is improved, but the device complexity increases
Solution Approach 1:
The patent extracts and eliminates the complex support parts (camera mounts, support frames, support arms, and posts) from the system. By using a single camera without mechanical support structures, the invention achieves three-dimensional display functionality while significantly reducing device complexity and preparation requirements.
Solution Approach 2:
The patent replaces the mechanical system of multiple cameras with support parts with a single camera system combined with image processing. Instead of using mechanical devices to physically position multiple cameras, the invention uses computational methods to achieve the same three-dimensional display effect, thereby eliminating complex mechanical structures.
2Manufacturing precision
If a turntable and acceleration sensor are used to control camera movement, then the three-dimensional image generation accuracy is improved, but the ease of operation deteriorates
Solution Approach 1:
The patent removes the turntable and acceleration sensor from the system. By eliminating these complex control devices, the invention maintains three-dimensional image generation accuracy while significantly improving ease of operation, as users no longer need to control mechanical turntables or calibrate sensors.
Solution Approach 2:
The patent replaces the mechanical turntable control system with a single camera system that captures images from different angles. Instead of using mechanical rotation and sensor feedback, the invention uses image processing algorithms to reconstruct three-dimensional information, thereby simplifying operation while maintaining accuracy.
3Ease of operation
If a single camera is used without additional devices, then the ease of operation is improved, but the measurement precision deteriorates
Solution Approach 1:
The patent replaces mechanical measurement systems (turntables, acceleration sensors) with image processing-based measurement. By using computational methods to calculate camera position and orientation from images captured by a single camera, the invention achieves precise measurement without requiring additional physical sensing devices, thereby maintaining ease of operation while ensuring measurement precision.
Data Source
AI summary
An image processing device comprises: image display means which displays at least one of transformation target images containing an object of interest; first reference point receiving/determining means which receives information on first reference point candidates according to a user operation, receives according to a user operation a determination signal targeted at the first reference point candidates displayed on the transformation target image based on the information on the first reference point candidates, and determines first reference points based on the information on the first reference point candidates targeted by the received determination signal; second reference point receiving/determining means which determines second reference points by receiving information on the second reference points; and geometric transformation means which outputs a transformed image by conducting geometric transformation to the transformation target image based on the first reference points determined by the first reference point receiving/determining means and the second reference points determined by the second reference point receiving/determining means.