3d Face Reconstruction from 3 provided images from different angles
Budget: $250 – $750 USD
Looking for a skilled software engineer in Image Processing to work on a 1-3 months long project.
Requirements:
Image Acquisition and Preprocessing:
- Implement a module to capture three facial images from different perspectives using provided cameras.
- Perform image preprocessing to remove noise, correct lighting, and enhance image quality.
Camera Calibration:
- Determine best angles for the three cameras to maximize the useful input of the images and minimze unnecessary information collection
Facial Feature Detection:
- Utilize pre-trained deep learning models or implement custom algorithms to detect facial landmarks (e.g., eyes, nose, mouth, and ears) in the input images.
- Handle variations in facial expressions and lighting conditions for robust feature detection.
3D Face Reconstruction:
- Create a 3D mesh model of the face using the detected facial landmarks.
- Implement an algorithm to reconstruct the face in 3D space from the three 2D images, including ears.
- Ensure the 3D model accurately represents the individual's facial features and maintains proportions.
Head Rotation Invariance:
- Develop a method to handle head rotation and adjust the 3D model accordingly.
Testing and Validation:
- Conduct comprehensive testing of the program using various test datasets to ensure accuracy and reliability.
- Validate the results against ground truth data and real-world scenarios.
Documentation:
- Provide detailed documentation on the program's architecture, algorithms, and usage instructions.
- Include a step-by-step guide for setting up and running the program.
Code Quality and Maintainability:
- Write clean, well-structured, and maintainable code following best practices.
- Ensure proper code commenting and documentation for better collaboration.
Requirements:
Image Acquisition and Preprocessing:
- Implement a module to capture three facial images from different perspectives using provided cameras.
- Perform image preprocessing to remove noise, correct lighting, and enhance image quality.
Camera Calibration:
- Determine best angles for the three cameras to maximize the useful input of the images and minimze unnecessary information collection
Facial Feature Detection:
- Utilize pre-trained deep learning models or implement custom algorithms to detect facial landmarks (e.g., eyes, nose, mouth, and ears) in the input images.
- Handle variations in facial expressions and lighting conditions for robust feature detection.
3D Face Reconstruction:
- Create a 3D mesh model of the face using the detected facial landmarks.
- Implement an algorithm to reconstruct the face in 3D space from the three 2D images, including ears.
- Ensure the 3D model accurately represents the individual's facial features and maintains proportions.
Head Rotation Invariance:
- Develop a method to handle head rotation and adjust the 3D model accordingly.
Testing and Validation:
- Conduct comprehensive testing of the program using various test datasets to ensure accuracy and reliability.
- Validate the results against ground truth data and real-world scenarios.
Documentation:
- Provide detailed documentation on the program's architecture, algorithms, and usage instructions.
- Include a step-by-step guide for setting up and running the program.
Code Quality and Maintainability:
- Write clean, well-structured, and maintainable code following best practices.
- Ensure proper code commenting and documentation for better collaboration.