Secure Point Cloud Watermarking via LSB Modification
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Solution Overview
Problem
Visual watermarks in files can be easily removed or modified, defeating their purpose in tracking the original recipient and preventing unauthorized redistribution.
Innovation Solution
A secure watermarking method is introduced that inserts an invisible watermark into the data points of a point cloud by changing the least significant bits of non-positional elements, such as color values, making it tamper-proof and undetectable, while using a security controller to track each recipient and timestamp of distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a visual watermark is superimposed onto a visualization generated from file data, then the watermark can be used to track the original recipient and prevent unauthorized redistribution, but the watermark can be easily removed or modified using various tools
Solution Approach 1:
The patent extracts the watermark information from the visual domain and embeds it into the underlying file data structure (e.g., metadata, header information, or specific data fields). This separation allows the watermark to be tracked through the file's digital footprint rather than relying on visible overlays that can be easily removed.
Solution Approach 2:
The patent introduces an intermediary encoding mechanism that embeds watermark information within the file's data structure or metadata. This intermediary layer protects the watermark by making it integral to the file format itself, so that removal would require corrupting the file's structural integrity.
2Object-affected harmful factors
If the watermark is made invisible by encoding it in the data points of the point cloud, then the watermark becomes tamper-proof and undetectable, but the complexity of the watermarking system increases
Solution Approach 1:
The patent merges the watermark information with the point cloud data structure by encoding it within the existing data points or their associated attributes. This integration allows the watermark to be invisible and undetectable while using the existing data structure rather than requiring a separate complex embedding system.
Solution Approach 2:
The patent changes specific parameters of the point cloud data (such as color values, intensity, or other attributes) to encode the watermark information. By modifying these parameters within acceptable tolerance ranges, the watermark becomes undetectable while the system complexity remains manageable through algorithmic encoding.
3Reliability
If the watermark is embedded by changing the least significant bits of non-positional elements, then the watermark becomes inseparable from the point cloud data, but the precision of the original data may be affected
Solution Approach 1:
The patent applies partial modification by changing only the least significant bits of non-positional elements, which have minimal impact on the overall data precision. This partial action approach embeds the watermark while preserving the majority of the original data's precision and quality.
Solution Approach 2:
The patent selectively changes specific parameters (least significant bits) of non-critical data elements, accepting minimal precision loss in exchange for reliable watermark embedding. This parameter change strategy targets only the least significant portions of the data that have the smallest impact on overall quality.
Data Source
AI summary
Disclosed is a security controller for a content distribution system that generates and encodes point clouds with invisible, visually undetectable, and/or tamperproof watermarks. The controller selects a set of data points from the point cloud, and changes at least one specific bit of a set of bits that define a value for a particular non-positional element of the set of data points. The controller encodes point cloud with a first watermark that is unique to a requesting client based on the changing of the at least one specific bit. The controller distributes the file encoded with the first watermark to the requesting client and tracks the set of data points that were encoded with the first watermark in order to subsequently verify that the requesting client was the original recipient of the point cloud encoded with the first watermark.