3D Imaging Depth Map Method for Signal Discontinuity
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Solution Overview
Problem
Current 3D imaging technologies require special optoelectronic aids and suffer from time discontinuity of signals, leading to brain instability and potential health issues like headaches and epileptic fits, and fail to achieve high image depth dynamics and precise point structure, resulting in incomplete three-dimensional perception.
Innovation Solution
A method that records distance information from scanning devices for each subject point in the object space and stores this information as additional data, allowing for the creation of 3D images without the need for additional optoelectronic aids, using at least two scanning devices arranged at a certain distance from each other, and registering depth information for each object point along the z-axis, along with brightness and color information for translucent points.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If stereoscopic imaging methods (such as anaglyph, polarized, or shutter glass systems) are used to create 3D images, then three-dimensional perception is achieved, but special optoelectronic aids are required and time discontinuity of signals causes brain instability and health issues
Solution Approach 1:
The patent extracts the depth information from the traditional stereoscopic imaging process and stores it separately as metadata (depth map) associated with each image point. This allows the depth information to be processed and displayed without requiring the problematic time-discontinuous signal delivery method of traditional 3D systems, thereby eliminating the harmful time discontinuity while preserving the 3D perception capability.
Solution Approach 2:
The patent introduces an intermediary depth map that mediates between the 2D image and the 3D perception. Instead of directly delivering discontinuous stereoscopic signals to the eyes, the depth map serves as an intermediary data structure that can be processed by the display system to create continuous 3D visualization without the harmful time discontinuities.
2Reliability
If traditional stereoscopic imaging methods are used, then 3D images can be displayed, but the systems fail to achieve high image depth dynamics and precise point structure
Solution Approach 1:
The patent segments the 3D imaging data into individual depth values for each image point (x, y coordinate). By assigning a separate depth parameter to each pixel, the system achieves precise point structure and high depth dynamics, allowing independent control of depth information at each location rather than relying on continuous depth maps or stereoscopic pair methods.
Solution Approach 2:
The patent changes the parameter representation from continuous depth maps or stereoscopic image pairs to discrete depth values associated with each image point. This parameter transformation enables precise control over depth dynamics and point structure, allowing for high-fidelity 3D representation with exact depth positioning at each pixel location.
3Reliability
If special 3D display systems with multiple projectors and polarization filters are used, then stereoscopic effect is achieved, but the projection screen becomes very expensive due to special treatment requirements
Solution Approach 1:
The patent creates a digital copy of the depth information (depth map) that can be stored and processed independently of the display hardware. This digital representation allows the 3D effect to be achieved through software processing and standard display technologies, eliminating the need for expensive specially-treated projection screens required by traditional optical 3D systems.
4Measurement precision
If 3D imaging systems use multiple scanning devices and store additional depth information for each point, then precise depth information is achieved, but device complexity increases
Solution Approach 1:
The patent adds a fourth dimension (depth) to the traditional two-dimensional image by associating a depth value with each (x, y) image point. This dimensional transformation allows precise depth information to be represented in a structured metadata format rather than requiring complex physical arrangements of multiple scanning devices, thereby reducing device complexity while maintaining measurement precision.
Data Source
AI summary
A method of description of points of an object from object space is disclosed, wherein for each point of the object of object space displayed on a graticule of a scanning device, information about point distance from the scanning device is registered and then stored to each point of the graticule of image as additional data. Furthermore, connection for implementation of said method covering a scanning device is disclosed, wherein a scanning system consists of at least two scanning devices connected to inputs of CPU central control unit, which includes a block of software applications and a block of computing module with evaluation software, whereas communication of the block of software applications and the block of calculation module with the evaluation software with CPU occurs via data buses, whereas CPU outputs are connected both on a block of internal memory and/or removable memory and a block of online outputs.