Virtual Camera Synchronization for Crime Scene Animation
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Solution Overview
Problem
Traditional crime scene reconstruction methods rely on human interpretation and measurements, which can lead to credibility issues when inferring the sequence of events, making it difficult for re-created sequences to be admitted as evidence in courts.
Innovation Solution
A method and system for synchronizing an animation sequence with video footage by creating a digital 3D model of the crime scene, placing a virtual camera with matching parameters, and generating synchronized virtual frames to accurately depict the events, ensuring the animation is in sync with the video footage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional human interpretation and measurements are used to reconstruct crime scenes, then the process is simple and quick, but the credibility and reliability of the reconstruction are compromised
Solution Approach 1:
The patent creates a digital 3D copy of the crime scene that can be virtually reconstructed and visualized. By copying the physical scene into a digital environment, the system maintains high fidelity to the original while enabling complex analysis and visualization without physical manipulation of evidence.
Solution Approach 2:
The patent replaces traditional manual measurement and interpretation methods with automated computer-based systems. Virtual cameras, digital projections, and software algorithms substitute for human physical measurements, significantly improving precision and credibility while reducing human error and bias.
2Measurement precision
If automated video projection systems are used to synchronize animation with video footage, then the precision and accuracy of event reconstruction improve, but the complexity of the system increases
Solution Approach 1:
The system automatically extracts key frames from video footage and synchronizes them with the 3D model without requiring manual intervention. The automated key frame extraction and timing synchronization mechanisms enable precise measurement and reconstruction while reducing the need for complex manual calibration procedures.
Solution Approach 2:
The patent transforms video parameters (timing, position, orientation) into 3D model parameters through automated processing. By changing and mapping parameters between different representations (video to 3D space), the system achieves high precision in event reconstruction while managing system complexity through standardized parameter transformations.
3Manufacturing precision
If virtual cameras with matching parameters are used to generate synchronized frames, then the accuracy of crime scene visualization improves, but the computational requirements and system complexity increase
Solution Approach 1:
The patent creates virtual cameras that copy the parameters and characteristics of actual video cameras used at the crime scene. By replicating camera positions, orientations, and field of view in the 3D model, the system generates highly accurate visualizations that match the original footage while using standardized virtual camera implementations.
Data Source
AI summary
A method of synchronizing an animation sequence with a video includes placing a virtual camera in a 3D model of a site captured in the video at the same location and the same orientation as those of a video camera that captured the video, generating a set of virtual frames of the animation sequence by projecting the 3D model onto a scene frame from a viewpoint of the virtual camera, for each of a plurality of virtual key frames, placing a virtual object corresponding to a moving object captured in the video in the 3D model at a respective location that matches with the respective position of the moving object in a corresponding key frame of the video, and playing the set of virtual frames by stepping through time such that the plurality of virtual key frames is in synch with the plurality of key frames of the video.