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2DKD: a toolkit for content-based local image search.

Julian S DeVilleDaisuke KiharaAtilla Sit
Published in: Source code for biology and medicine (2020)
Local image comparison and subimage search can prove cumbersome in both computational complexity and runtime, due to factors such as the rotation, scaling, and translation of the object in question. By using the 2DKD toolkit, relatively few descriptors are developed to describe a given image, and this can be achieved with minimal memory usage.
Keyphrases
  • deep learning
  • working memory