一些浅显、深刻的计算机视觉领域的问题以及答案（希望能帮助其职业发展)
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What is the difference between exact matching, search and classification? 完全匹配，搜索和分类之间有什么区别?
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What is the difference between global and local descriptors? ( Computer Vision: What is the difference between local descriptors and global descriptors? ) 全局描述符和局部描述符有什么区别
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What properties make an image / object easy to recognize?
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What are the advantages and drawbacks of deep learned features? ( What are the key advantages and key disadvantages of artificial neural nets over other machine learning algorithms? )
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What are the advantages and drawbacks of binary descriptors?
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What is the difference between HOG and SIFT feature descriptor? HOG and SIFT
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What do you think is the minimum size of an image signature database that could be used to recognize the covers of all CDs sold on Amazon?
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When is sight not the best sense to use to make sense of a situation?
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Is search by music closer to text search or search by image? Why?
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Do you know Brewer's concepts of "harvest" and "yield"? How do they apply to image search?
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How do you quantize features in large dimensions? Why do you have to?
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What ANN algorithms do you know? (Note: here I meant Approximate Nearest Neighbor, not Artificial Neural Network! But both probably work.)
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How do you tune a KD-forest?
* Can you build an image search engine on top of something like Elastic Search? Advantages / drawbacks?