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Filtering by: Committee Member Tadepalli, Prasad Decade 2000-2009 Subject Optical pattern recognition -- Mathematical models

Image features and learning algorithms for biological, generic and social object recognition

Creator:

Zhang, Wei

Abstract:

Automated recognition of object categories in images is a critical step for many real-world computer vision applications. Interest region detectors and region descriptors have been widely employed to tackle the variability of objects in pose, scale, lighting, texture, color, and so on. Different types of object recognition problems usually require...

Resource Type:

Dissertation
Image feature detection and matching for biological object recognition

Creator:

Deng, Hongli

Abstract:

Image feature detection and matching are two critical processes for many computer vision tasks. Currently, intensity-based local interest region detectors and local feature-based matching methods are used widely in computer vision applications. But in some applications, such as biological object recognition tasks, within-class changes in pose, lighting, color, and texture...

Resource Type:

Dissertation