EE5731_Questions_updated_3-3

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(a) Haar-like features are computationally efficient and can be used for real-time face detection. True / False Justify your answer. (a) True. Haar-like features are indeed computationally efficient due to the use of integral images for rapid feature evaluation, and they are used for real-time face detection, such as in the Viola-Jones algorithm. (b) Haar-like features are sensitive to lighting conditions and geometric transformations, making them unreliable for object detection in varying lighting. True / False Justify your answer. (b) True. Haar-like features are somewhat sensitive to lighting conditions and geometric transformations because they are based on intensity differences within an image. This can affect their reliability in varying lighting conditions. Which statement is accurate concerning the descriptor for a 24 x 24 image using Haar-like features? (a) The descriptor is a vector of 160,000 values, each resulting from a unique convolution operation with Haar-like masks. (b) The descriptor for Haar-like features remains constant regardless of the image content. (c) A descriptor is a small image patch used for matching similar features across different images. (d) The descriptor is a high-dimensional vector that can vary in length depending on the image size. Justify your answer. (d) The descriptor is a high-dimensional vector that can vary in length depending on the image size and the selection of features. Select the true statement about the application of Haar-like features. (a) Haar-like features have been largely replaced by deep learning methods for all computer vision tasks. (b) These features are robust to changes in illumination and are therefore widely used in outdoor vision systems. (c) Haar-like features can be computed rapidly, making them suitable for real-time applications such as face detection. (d) The calculation of Haar-like features is highly sensitive to noise, rendering them impractical for real-world applications. Justify your answer. (c) Haar-like features can be computed rapidly, making them suitable for real-time applications such as face detection. Feature Value Calculation

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