1. What is the difference between object recognition and object detection? 2. Mention the method for doing object recognition and object detection? 3. What is the difference between machine learning and deep learning?
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- What are the key principles and techniques used in the field of computer vision for object recognition and image classification?What is the difference between Cognitive AI and Narrow AI? How does a Narrow AI approach to solving a image recognition problem differ from our minds' approach? Explain the basic idea of patterns, percepts, simulators, and concepts.What is the concept of computer vision, and how do machine learning algorithms such as convolutional neural networks enable accurate and efficient object detection, recognition, and tracking in image and video data?
- What is the role of artificial intelligence in computer vision, and what are some of the challenges that researchers face in developing reliable and accurate AI-powered image recognition and object detection systems?Please help me with the following please write in joy notes how new this topic is (Using fractal techniques for face recognition) if it was created in 2004. What new discoveries have been made And write conclusion paragraph about using fractal techniques for facial recognition. And include you opinion about itWhat is the concept of computer vision in computer science, and how is it used to analyze and interpret visual data from the real world? Discuss the different techniques used in computer vision, including feature extraction, object recognition, and image segmentation, and provide examples of applications such as facial recognition, autonomous vehicles, and medical imaging.
- Provide the detail explanation of all steps involve from capturing a scene to the acquisition of a digital image? All steps are important?Consider a robot with a 360 degree camera mounted on top of it. The camera is used to view the surrounding environment, and is digitally processed in order to assist navigation. • Describe in your own words what image distortion, if any, do you think is observed within the received images from the camera.• What are some of the methods that might be deployed to remove this distortion?• Describe what artifacts can be addressed through calibration of the cameraObject recognition in its full generality is a very hard problem. We discussed brightnessbased and feature-based approaches. We also presented a simple algorithm for pose estimation. Other possibilities exist. (True/False)
- Discuss the trades offs between the different image representation and with which representation would you go if you have limited computer resources? - Should be contains: 1- Technical factors and considerations 2- JustificationSuppose a company wants to develop games for education purposes. These games include different puzzles to solve. The company also wants to make the text books into the soft format and the examples in books into the 3D models. In your opinion what type of people company should hire to complete the project? Should they computer graphics designers or image processing experts etc? Explain your answer with the help of examples.I have a question in Machine learning domain( image processing). The question is as below: "I want to write an algorithm to identify keyframes from a video with the file names being thetimestamp as per the video. Use the yolo v3 object detection model to find the timestampwhich has the highest number of objects" Could you please help me get the solution