What Is Computer Vision ? | How Computer Vision Works ? | Computer Vision Explained | review sheview HD

S U B S C R I B E L I K E S H A R E Dosto iss video me mene bataya hai ki computer vision kya hota hai .. or what is computer vision... computer vision kaam kese karta hia or how computer vision works aasha karta hu apko video pasand ayegy ... like share and subscribe jarur karein Computer Vision is a field of Artificial Intelligence and Computer Science that aims at giving computers a visual understanding of the world, and is the heart of Hayo’s powerful algorithms. It is one of the main components of machine understanding he goal of Computer Vision is to emulate human vision using digital images through three main processing components, executed one after the other: 1. Image acquisition 2. Image processing 3. Image analysis and understanding As our human visual understanding of world is reflected in our ability to make decisions through what we see, providing such a visual understanding to computers would allow them the same power Image acquisition Image acquisition is the process of translating the analog world around us into binary data composed of zeros and ones, interpreted as digital images. Different tools have been created to build such datasets: 1. Webcams & embedded cameras 2. Digital compact cameras & DSLR 3. Consumer 3D cameras & laser range finders Most of the time, the raw data acquired by these devices needs to be post-processed in order to be more efficiently exploited in the next steps. Image processing The second component of Computer Vision is the low-level processing of images. Algorithms are applied to the binary data acquired in the first step to infer low-level information on parts of the image. This type of information is characterized by image edges, point features or segments, for example. They are all the basic geometric elements that build objects in images. This second step usually involves advanced applied mathematics algorithms and techniques. Low-level image processing algorithms include: 1. Edge detection 2. Segmentation 3. Classification 4. Feature detection and matching T A G S computer vision in artificial intelligence computer vision vs image processing computer vision tutorial computer vision examples computer vision applications computer vision course computer vision machine learning computer vision