- PAMI2024
- mmWave
- conference
- mmWave
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TOF Sensors for 3D Imaging
The Time-of-Flight (TOF) sensor is a key component in 3D imaging, capturing and analyzing the depth information of an object. TOF sensors have various applications in industrial inspection, medical diagnosis, augmented reality, and gaming. These sensors offer high accuracy, real-time processing, low power consumption, and versatility. Image-based 3D surface modeling with TOF sensors involves capturing images of an object's surface and using computer vision algorithms to reconstruct its 3D model from those images. By combining these images with TOF data, more accurate and detailed 3D models can be generated.
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Surgical Planning and Simulation
Surgical planning and simulation is a revolutionary approach to 3D surface modeling that leverages advanced imaging techniques such as X-ray, CT, MRI, ultrasound, IR, and laser technologies. By combining these technologies with sophisticated software algorithms, surgeons can create highly detailed 3D models of their patients' organs and tissues, allowing them to plan surgeries more accurately and effectively. While there are some limitations to this approach, its many advantages make it an essential tool for modern medical professionals looking to provide the best possible care for their patients.
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Surface Texture Analysis
This article explores three cutting-edge techniques for creating 3D surface models using image, infrared (IR), and laser technologies. Image-based modeling involves taking multiple images of a sample from different angles and using computer vision algorithms to reconstruct the 3D surface. IR surface mapping uses infrared light to analyze the reflectivity and absorption of samples at different wavelengths, producing highly accurate 3D models. Laser scanning combines the precision and speed of laser scanning with the flexibility of CAD software, enabling the production of highly detailed 3D models with minimal human intervention. Each technique has its strengths and limitations, and the choice depends on specific requirements. As research in this field continues to advance, more sophisticated techniques are expected to emerge.
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Surface Normal Recovery
Surface normal recovery is a crucial step in creating accurate and detailed 3D models of surfaces. This technique involves analyzing surface features such as edges, corners, and textures to determine the normals that correspond to the true surface orientation. Various approaches include image-based methods using PCA and edge detection algorithms, IR-based methods using thermal imaging and color temperature mapping, and laser-based methods. These techniques have applications in computer vision, robotics, and engineering, improving the quality and visual appeal of 3D models and facilitating better understanding of their physical properties.
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Structured Light and TOF Sensors
Structured Light and Time-of-Flight (TOF) sensors are two advanced imaging technologies used in 3D surface modeling. Structured light sensors capture images by projecting a pattern of structured light onto an object, creating high-resolution 3D models from different viewpoints. Zebrascan is one example of a structured light sensor used in industrial inspection and quality control applications. Time-of-Flight sensors measure the time it takes for a beam of light to travel between two points on an object's surface, creating accurate 3D maps of complex surfaces. TOF sensors have numerous applications in industrial inspection, quality control, robotics, and autonomous vehicles.