What is Computer Vision? What are the technical challenges in the context of computer vision? Explain.
What is Computer Vision? What are the technical challenges in the context of computer vision? Explain.
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What is Computer Vision? What are the technical challenges in the context of computer vision? Explain.
Computer vision is a field of artificial intelligence (AI) and computer science that focuses on enabling computers to interpret and understand visual information from digital images or videos. It aims to replicate the human visual system's ability to perceive, analyze, and make sense of visual data.
Technical challenges in computer vision include:
Image Recognition: Developing algorithms capable of accurately recognizing and classifying objects, scenes, and patterns within images, despite variations in lighting, scale, orientation, and occlusion.
Object Detection and Tracking: Creating systems that can detect and track multiple objects in real-time video streams, while dealing with challenges such as occlusion, cluttered backgrounds, and variations in appearance.
Semantic Segmentation: Segmenting images into meaningful regions or objects, requiring algorithms to distinguish between different object classes and accurately delineate object boundaries.
3D Reconstruction: Generating three-dimensional models of objects or scenes from two-dimensional images, while addressing issues such as depth estimation, perspective distortion, and occlusion.