Stereo Camera 3D Zoom Image Warping
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Solution Overview
Problem
Conventional 3D stereo cameras fail to accurately enlarge 3D information when zooming, resulting in distorted 3D images due to reduced baseline and changed viewpoints, making it difficult to achieve a correct 3D zoom effect without physically altering the camera structure.
Innovation Solution
An apparatus and method that compute baseline variation and convergence angle associated with selected magnification, allowing image warping to maintain 3D information integrity, using an image acquiring unit, information computing unit, image warping unit, and image inpainting unit to generate a 3D zoom image without changing the camera structure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If zoom lenses are used to enlarge images without moving cameras, then image magnification is improved, but baseline between cameras is reduced causing 3D information loss
Solution Approach 1:
The system pre-calculates the baseline variation and convergence angle based on the selected magnification before performing image warping. This preliminary computation of geometric parameters allows the warping process to correctly adjust for 3D structure changes, preventing information loss that would otherwise occur during zoom operations.
Solution Approach 2:
The invention dynamically changes the baseline and convergence angle parameters based on the selected magnification level. By computing and applying these parameter variations through image warping, the system maintains accurate 3D information representation across different zoom levels without requiring physical camera movement.
2Loss of information
If cameras are moved to maintain baseline during zoom, then 3D information is preserved, but device complexity and operation difficulty increase
Solution Approach 1:
The invention replaces the mechanical camera movement system with a computational image warping system. Instead of physically moving cameras to maintain baseline, the system computes baseline variation and convergence angle, then applies these parameters through software-based image warping to preserve 3D information, thereby eliminating complex mechanical mechanisms.
Solution Approach 2:
The system creates a computationally warped copy of the original image that simulates the effect of camera movement. By generating a new image with adjusted geometry based on computed baseline and convergence angle parameters, the system achieves the same 3D preservation effect without physical camera relocation.
3Area of moving object
If conventional zoom is applied, then image size is enlarged, but 3D structure distortion occurs due to viewpoint change
Solution Approach 1:
The system dynamically adjusts the convergence angle parameter based on the selected magnification and applies it through image warping. This parameter change compensates for viewpoint shifts that occur during zoom, ensuring that the 3D structure of objects remains undistorted while image size is enlarged.
Solution Approach 2:
The convergence angle is pre-computed based on the selected magnification before image warping is performed. This preliminary determination of the correct convergence angle allows the warping process to properly maintain 3D structural relationships throughout the enlargement process, preventing distortion.
Data Source
AI summary
An apparatus and method for generating a three-dimensional (3D) zoom image of a stereo camera are provided that may compute a baseline variation or a convergence angle that is associated with a magnification of a zoom image acquired from the stereo camera, may warp the zoom image using the computed baseline variation or the computed convergence angle, and may perform inpainting on the warped image to prevent a distortion of 3D information, so that a 3D zoom image may be generated without a distortion of 3D information using a zoom lens.