Photography System Depth Detection Body Point Mapping
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Solution Overview
Problem
Current photography systems lack the ability to accurately capture and utilize additional information about a subject's physical characteristics during a photography session, relying on unreliable face finding software and time-consuming manual review of digital images.
Innovation Solution
A photography system comprising a digital camera and a depth and position detection device that generates depth data and identifies body points, allowing for the automatic capture and processing of subject information, including distance, body position, and article characteristics, which can be mapped to the digital image and stored for further processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If face finding software is used to locate the subject's face, then some information about the subject can be obtained, but the technique is not reliable and suffers from numerous limitations
Solution Approach 1:
The patent introduces depth maps and body point detection algorithms as intermediary tools between the camera image and the final subject information. These intermediaries provide structured data about subject position, orientation, and physical characteristics that supplement the unreliable face finding software, enabling more accurate and reliable measurement of subject attributes.
Solution Approach 2:
The patent replaces manual review of photographs with automated computer vision algorithms including body point detection and depth map analysis. This substitution of mechanical/manual processes with automated computational methods improves both reliability and precision of subject measurement while reducing human error and time consumption.
2Measurement precision
If manual review of digital images is performed to obtain additional information about the subject, then detailed analysis is possible, but the process is time consuming and prone to error
Solution Approach 1:
The system enables self-service automated analysis where the computer automatically performs body point detection, depth map generation, and physical characteristic measurement without requiring manual review. The automated algorithms process images independently, extracting subject information including face position, body orientation, and physical dimensions instantly, eliminating time loss while maintaining high precision through systematic computational methods.
Solution Approach 2:
Manual image review is completely replaced by automated computer vision processing. The system uses algorithms to automatically detect body points, generate depth maps, and measure physical characteristics, substituting human manual analysis with computational automation that operates faster and with consistent precision across all images.
3Measurement precision
If a depth detector comprising a second digital camera is used to scan the subject, then accurate depth data and body point positions are obtained, but the device complexity increases
Solution Approach 1:
The second digital camera in the depth detector serves multiple functions: it captures depth information through stereo vision, identifies body point positions, and generates depth maps. By making this single component multi-functional, the system achieves high measurement precision without proportionally increasing overall device complexity, as one device performs several critical measurement tasks.
Solution Approach 2:
The depth detector acts as an intermediary device that bridges the gap between simple 2D image capture and complex 3D measurement. Rather than requiring multiple specialized sensors or complex imaging systems, the depth detector uses a second camera as a mediator to extract depth and position information through computational stereo vision, managing complexity while delivering precise measurements.
4Loss of information
If additional depth data and body point information are captured and stored, then more comprehensive subject information is available, but the quantity of data to be processed increases
Solution Approach 1:
The system extracts only the most relevant subject information from the captured data, including body point positions, depth measurements, face position, and physical characteristics. Rather than storing all raw image data and metadata, the system extracts and stores only the essential measured parameters needed for subject analysis, reducing data volume while maintaining information completeness for the intended applications.
Solution Approach 2:
The system applies different levels of data processing and storage to different aspects of subject information. Critical measurements like body point positions and depth data receive detailed processing and storage, while less critical information is processed at lower resolution or aggregated. This local quality approach ensures comprehensive subject information is available where needed while reducing overall data volume through selective detailed processing.
Data Source
AI summary
A photography system includes a digital camera and a depth and position detection device. The digital camera is configured to capture a digital image of a subject. The depth and position detection device scans the subject and determines three-dimensional locations of the subject and any other objects within the field of view. The depth and position detection device also determines locations of body points of the subject. The depth and position information can then be mapped to the digital image.