Pseudo-3D Forced Perspective Image Conversion
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Solution Overview
Problem
Existing methods for converting 2D media to 3D stereographic images often result in errors such as 'popping' artifacts due to dynamic depth mapping, where objects incorrectly change their perceived distance in a scene, leading to suboptimal 3D reproduction.
Innovation Solution
The method involves creating pseudo-3D forced perspective image pairs by distorting left and right versions of a 2D image without depth mapping, using a processor to apply transformations that mimic the views of two cameras spaced like human eyes, allowing the viewer's brain to interpret the images as 3D, with adjustable distortion parameters to enhance depth perception.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If depth mapping is used to convert 2D media to 3D stereographic images, then 3D reproduction is achieved, but popping artifacts occur due to dynamic depth mapping errors
Solution Approach 1:
The patent removes the depth mapping component from the 3D conversion process entirely. Instead of using algorithms to calculate depth maps and apply parallax corrections, the invention directly processes the original 2D image to generate left and right eye views through geometric transformation, thereby eliminating the source of popping artifacts that occur during dynamic depth mapping
Solution Approach 2:
Rather than starting with a 2D image and attempting to reconstruct depth information through depth mapping algorithms, the patent inverts the approach by directly applying forced perspective transformations to create the stereographic pair. This reversal avoids the iterative depth classification process that causes objects to pop between foreground and background
2Productivity
If automated depth mapping algorithms are used for 2D to 3D conversion, then conversion speed is improved, but accuracy deteriorates due to reclassification errors
Solution Approach 1:
The patent replaces the complex mechanical-like process of iterative depth map generation and object reclassification with a direct geometric transformation system. By using forced perspective transformations based on camera baseline geometry, the system achieves both high conversion speed and accurate depth perception without the computational overhead and errors of automated depth mapping algorithms
Data Source
AI summary
The present invention relates to conversion of 2D media to pseudo-3D left and right image pairs. In particular, it relates to imposing forced perspective on left and right versions of a 2D image. The distorted pair of images, when displayed, will be interpreted by a viewer as a 3D image. The pseudo-3D forced perspective image pairs can be produced without depth mapping of objects in scenes and without comparing the position of objects in successive image frames.


