- PAMI2024
- mmWave
- conference
- mmWave
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Key Researchers and Contributions
3D surface modeling is a crucial process in various fields such as engineering, manufacturing, architecture, and design. Image-based 3D surface modeling techniques rely on capturing images of physical surfaces and then using computer vision algorithms to extract information about the shape, texture, and features of the surface. Infrared (IR) technology offers unique advantages for 3D surface modeling due to its ability to capture invisible or diffused signals such as thermal radiation. Laser technology provides a powerful tool for 3D surface modeling by enabling precise measurement and mapping of surface features. The advancements in image, infrared, and laser-based 3D surface modeling techniques have opened up new possibilities for a wide range of applications in engineering, manufacturing, design, and beyond.
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Introduction of Neural Networks
Neural networks, inspired by the human brain, are a type of artificial intelligence. They consist of interconnected nodes or neurons, organized into layers. There are 3 types, feedforward, recurrent, and convolutional networks. Neural networks can be used for 3D surface modeling in areas such as surface reconstruction, segmentation, and completion. By combining techniques like autoencoders, CNNs, and GANs, state-of-the-art results can be achieved.
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Interactive 3D Environments
Interactive 3D environments are becoming increasingly common in the field of computer graphics, providing users with immersive experiences. Surface modeling is a key technology for creating these environments, using techniques such as image, infrared (IR), and laser scanning. Image-based surface modeling captures images of physical objects to create digital models, while IR-based modeling can capture details like reflections and refractions. Laser-based surface modeling creates detailed measurements of surfaces, with advantages including high accuracy and resolution. These techniques have applications in areas such as medical imaging, automotive testing, and industrial design. As research continues to advance, we can expect more realistic and sophisticated interactive 3D environments.
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Infrared Light Pattern Projection
This article discusses the use of infrared (IR) light pattern projection in 3D surface modeling. IR light pattern projection works by illuminating an object with IR light and observing the scattered light patterns emitted by the material's surface, which can provide valuable information about the surface topography, texture, and composition of the material. There are two main types of IR light pattern projections, diffuse reflection and specular reflection. IR light pattern projections have numerous applications in 3D surface modeling, including surface topography analysis, material classification, and in-depth inspection. Compared to traditional methods such as laser scanning and photogrammetry, IR light pattern projections offer lower costs, higher accuracy, and flexibility.
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Increasing Computational Efficiency
This article discusses the use of image, infrared, and laser technologies to improve computational efficiency in 3D surface modeling. Image-based surface modeling uses images as input data and can handle large amounts of data quickly and efficiently. Infrared surface modeling provides high-resolution information about surfaces without damaging or altering them, while laser surface modeling can provide high-speed and high-accuracy measurements over large areas. Each method has its own strengths and weaknesses depending on the specific application.