3D Data Projection Multi-Layer Plane Encoding
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Solution Overview
Problem
The challenge lies in suppressing the degradation of 3D data quality during its projection to a two-dimensional plane, particularly due to noise and imaging system characteristics, which can lead to incomplete representation of point clouds and reduced encoding efficiency.
Innovation Solution
The proposed solution involves projecting 3D data onto multiple layers of a two-dimensional plane, allowing for variable layer numbers and defining absent points, thereby ensuring accurate representation and reducing processing complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If 3D data is projected to a two-dimensional plane using conventional methods, then encoding efficiency is improved, but quality degradation occurs due to noise and incomplete representation of point clouds
Solution Approach 1:
The patent introduces a multi-layer two-dimensional plane structure where each layer represents a different depth range or projection view of the 3D point cloud. This dimensional extension allows points at different depths to be preserved without overlapping, maintaining quality while enabling efficient 2D encoding of the extended structure
Solution Approach 2:
The patent segments the 3D point cloud data into multiple layers based on depth, position, or other criteria. Each layer contains a subset of points that can be independently processed and encoded, preventing noise and incomplete representation while maintaining overall encoding efficiency
2Device complexity
If points are projected to a two-dimensional plane, then data processing is simplified, but quality degradation occurs when points exist at places other than object surface due to noise
Solution Approach 1:
By extending the projection target to a multi-layer 2D plane, the patent creates additional dimensional space to accommodate noisy points and out-of-surface points. This allows the system to maintain simplified 2D processing while preserving points that would otherwise be lost or misrepresented in conventional single-layer projection
Solution Approach 2:
The patent applies different processing or representation strategies to different layers or regions of the multi-layer structure. Points that are identified as noise or out-of-surface can be handled differently in specific layers, maintaining local accuracy while preserving overall processing simplicity
Data Source
AI summary
The present disclosure relates to an imaging processing apparatus and method by which degradation of the quality due to two-dimensional projection of 3D data can be suppressed.All pieces of data for each position included in 3D data representative of a three-dimensional structure are projected to a two-dimensional plane of plural layers. Further, all pieces of data for each position of 3D data projected to a two-dimensional plane having the number of layers indicated by layer number information are projected to a three-dimensional space. The present disclosure can be applied, for example, to an information processing apparatus, an image processing apparatus, electronic equipment, an information processing method, and a program.