3D Object Reconstruction Using Tomographic Image Processing
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Solution Overview
Problem
Current 3D imaging technologies face challenges in cost, accessibility, and effectiveness for detecting camouflaged objects in uncontrolled environments, particularly due to the need for high-performance acquisition and processing systems and the inability to handle partially masked objects.
Innovation Solution
An optronic system that uses a conventional photosensitive sensor and a mobile device capable of moving around the object to emit an electromagnetic pulse and detect its reflection, with image processing methods to correct for distance, illumination, and registration, allowing for 3D reconstruction without requiring high-cost, high-performance technology and fine spatial control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If conventional photosensitive sensors and mobile devices are used, then cost is reduced and accessibility is improved, but measurement precision and detection capability for camouflaged objects deteriorate
Solution Approach 1:
The patent transitions from 2D image capture to 3D volumetric reconstruction by capturing images from multiple angles and applying tomographic reconstruction algorithms. This dimensional transformation enables the system to penetrate camouflage and detect hidden objects using conventional sensors, resolving the contradiction between low cost and high detection precision.
Solution Approach 2:
The system performs preliminary actions by capturing multiple images from different angles before reconstruction. This multi-angle acquisition approach, combined with computational processing, enables conventional sensors to achieve detection capabilities comparable to high-performance systems.
2Measurement precision
If profilometric 3D active imaging systems with short pulse lasers and fast detectors are used, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent replaces complex active imaging hardware (short pulse lasers, fast detectors, precise ranging systems) with a simpler system based on conventional photosensitive sensors and computational tomography. The mechanical/optical complexity is substituted with computational processing, achieving comparable precision through software rather than hardware sophistication.
Solution Approach 2:
Instead of directly measuring distance with complex hardware, the system creates multiple 2D image copies from different angles and reconstructs the 3D volume computationally. This copying and reconstruction approach achieves precise spatial information extraction without requiring complex direct measurement devices.
3Reliability
If multiple images from different angles are captured and reconstructed, then detection of camouflaged and partially masked objects is improved, but loss of time in data acquisition and processing increases
Solution Approach 1:
The system employs periodic action by capturing images at regular angular intervals around the object. This systematic multi-angle acquisition, combined with efficient tomographic reconstruction, achieves reliable detection of camouflaged objects while managing acquisition time through structured sampling rather than exhaustive continuous scanning.
4Productivity
If high-performance acquisition systems with fast electronics are used, then productivity in terms of image acquisition speed is improved, but cost and device complexity increase
Solution Approach 1:
The patent replaces high-performance fast electronics and hardware acceleration with computational processing of standard-speed images. The productivity gain is achieved through efficient algorithms and multiple-angle sampling rather than through high-speed electronic components, maintaining affordability while improving acquisition capability.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables efficient detection of partially masked objects at lower costs, with improved diagnostic capabilities through 3D imaging, suitable for various fields including security and medical applications, and can be used in environments where the scene is not controlled by the operator.
Implementation Method 1
a photosensitive sensor (a laser radiation sensor for example) able to detect a level of intensity of an electromagnetic pulse reflected by the object
Implementation Method 2
a photosensitive sensor (a laser radiation sensor for example) able to detect the level of intensity of an electromagnetic pulse reflected by the object
Implementation Method 3
the computer processing means are able to reconstruct a 3D image of the object from the 2D images taken at different angles by Radon transformation techniques
Data Source
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AI summary
The invention relates to an optronic system for identifying an object comprising a photosensitive sensor (42), communication means (21, 22) and a computer processing means (1) enabling the object to be reconstructed in three dimensions from the images taken by the sensor and the object to be identified from the reconstruction, characterized in that the photosensitive sensor is capable of recording images of the object representing the intensity levels of electromagnetic radiation reflected by the surface of the object (5) taken from several observation angles (61, 62) around the object (5) and the communication means (21, 22) are capable of transmitting said images to the computer processing means (1) to reconstruct the object in three dimensions by means of a tomography function configured to process said images of the object representing the intensity levels of electromagnetic radiation reflected by the surface of the object.The invention also relates to a computer processing method for object identification by three-dimensional object reconstruction. The invention is applicable to the fields of target detection, medicine, and microelectronics.