Electronics and Telecommunications Research Institute

Information Technology University (itu)

Tabasher Arif

Jeong-Il Seo

Rehan Hafiz

Yong-Ju Cho

Muhammad Faisal

Mohsen Ali

Usama Sadiq

Disclosed herein are an apparatus and method for detecting a keypoint based on deep learning robust to scale changes based on information change across receptive fields. The apparatus for detecting a keypoint based on deep learning robust to scale changes based on information change across receptive fields includes a feature extractor for extracting a feature from an input image based on a pre-trained deep learning neural network, an information accumulation pyramid module for outputting, from the feature, at least two filter responses corresponding to receptive fields having different scales, an information change detection module for calculating an information change between the at least two filter responses, a keypoint detection module for creating a score map having a keypoint probability of each pixel based on the information change, and a continuous scale estimation module for estimating a scale of a receptive field having a biggest information change for each pixel.

Apparatus and method for detecting keypoint based on deep learning using information change across receptive fields

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Lahore, Pakistan

Tabasher Arif