4D Light-Field Camera Viewpoint Stabilization
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Solution Overview
Problem
Conventional 2D digital photography limits image stabilization to lossy processes that cannot adjust the viewpoint, resulting in loss of image data, as true image stabilization requires changing the viewpoint, which is not possible after image capture.
Innovation Solution
Processing a light-field video stream to obtain and adjust a camera pathway, allowing for image stabilization by modifying the viewpoint, either to smooth out camera motion or simulate vibrations, by selecting target pixels with specific characteristics and generating a 3D mapping of camera motion with six degrees of freedom.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional 2D image stabilization methods are used, then image stabilization can be achieved, but image data is lost due to cropping
Solution Approach 1:
The patent transitions from 2D image stabilization to 4D light-field processing by capturing spatial and angular dimensions. This enables stabilization without cropping because the additional dimensions provide redundant information that can be used to reconstruct stable views from multiple perspectives, eliminating the need to discard image portions.
Solution Approach 2:
The light-field camera system performs multiple functions simultaneously: it captures the full light field for future processing, enables both stabilization and refocusing operations, and provides the flexibility to generate multiple stabilized views from a single capture, making the system more versatile than conventional 2D cameras.
2Reliability
If conventional 2D image stabilization is applied, then viewpoint shifts can be compensated, but only with lossy processing
Solution Approach 1:
By capturing light-field data with four dimensions (two spatial, two angular), the system obtains redundant viewpoint information within a single frame. This allows lossless viewpoint compensation because the angular dimensions contain multiple perspectives that can be synthesized without discarding spatial information.
3Adaptability or versatility
If light-field processing is used for image stabilization, then viewpoint can be adjusted, but processing complexity increases
Solution Approach 1:
The light-field camera performs preliminary action by capturing the complete light field with angular and spatial dimensions during the initial image capture. This pre-captured data structure enables subsequent viewpoint adjustments and stabilization operations to be performed efficiently without requiring complex real-time processing, as the redundant information is already organized in the 4D light-field representation.
Data Source
AI summary
A light-field video stream may be processed to modify the camera pathway from which the light-field video stream is projected. A plurality of target pixels may be selected, in a plurality of key frames of the light-field video stream. The target pixels may be used to generate a camera pathway indicative of motion of the camera during generation of the light-field video stream. The camera pathway may be adjusted to generate an adjusted camera pathway. This may be done, for example, to carry out image stabilization. The light-field video stream may be projected to a viewpoint defined by the adjusted camera pathway to generate a projected video stream with the image stabilization.