Depth Data Preservation in Image Editing via Calibration Matrix Updates
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image editing techniques that incorporate depth data often introduce errors and distortions, especially when applying operations like rotation and scaling, due to differences in resolution between image and depth data, and can result in 'tears' on object boundaries or invalid depth values.
Innovation Solution
The method involves editing image and calibration data separately while keeping the depth data intact, using linear transformations and matrix operations to update intrinsic and extrinsic parameters of a camera model, allowing for operations like rotation, cropping, and flipping without directly altering the depth data, thus preserving original depth information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If image editing operations (rotation, scaling) are applied directly to depth data, then the image can be transformed, but errors and distortions accumulate due to resolution differences between image and depth data
Solution Approach 1:
The patent separates the editing process into two independent segments: image data editing and depth data preservation. Image transformations are applied only to the image data and calibration parameters, while depth data remains untouched. This segmentation prevents error accumulation by avoiding repeated transformations of the lower-resolution depth data.
Solution Approach 2:
The patent moves the transformation operations from the spatial domain (directly transforming depth values) to the parameter domain (transforming calibration matrices and intrinsic parameters). By operating on calibration parameters rather than depth data directly, the system achieves image transformation without degrading depth data quality.
2Adaptability or versatility
If depth data is edited repeatedly to apply multiple image operations, then all image transforms can be applied, but errors compound and accumulate through repeated edits
Solution Approach 1:
The patent performs all necessary image transformations in a single preliminary operation on the calibration data and image data, while preserving the original depth data unchanged. This preliminary action on the appropriate data types prevents the need for repeated depth data edits, thereby preventing error compounding.
Solution Approach 2:
The system creates a transformed version of the image and calibration parameters while maintaining an unchanged copy of the original depth data. This copying approach allows multiple edits to be applied to the image copy without affecting the integrity of the original depth data.
3Measurement precision
If different interpolation methods are used on depth data during editing, then image quality can be maintained, but invalid depth values and tears appear on object boundaries
Solution Approach 1:
The patent extracts the transformation operations from the depth data processing pipeline entirely. By removing depth data from the editing process and applying transformations only to image data and calibration parameters, the harmful effects of interpolation artifacts, tears, and invalid depth values are completely eliminated.
Data Source
AI summary
The present disclosure provides at least an apparatus for a depth enhanced image editing. In an example, the apparatus includes memory; instructions; and processor circuitry to execute the instructions to: obtain image information, the image information including edited image data, edited calibration data, and unedited original depth data; and align the original depth data to the edited image data based on the edited calibration data.