Samsung Electronics Co., Ltd.

Byungdeok Kim

Taeui Kim

Changhun Sung

Deokhwan Kim

YoungMin Kim

Woosuk Kim

Jangsu Lee

A distributed inference system includes an end device and a server. The end device generates status information and generates an inference result corresponding to target data based on a first machine learning model. The server creates a second machine learning model based on the status information and a training dataset including the inference result, calculates an accuracy of the inference result, and provides the second machine learning model to the end device based on the accuracy.

Distributed inference system and operating method of the same

Each input image from a plurality of input images is divided into a plurality of image tiles. A feature point map including a plurality of feature point tiles respectively corresponding to the plurality of image tiles is generated by extracting feature points included in each image tile of the plurality of image tiles. A descriptor map including a plurality of descriptor tiles respectively corresponding to the plurality of feature point tiles is generated by generating descriptors of feature points included in the feature point map. Mapping information containing matching relationships between feature points included in different input images of the plurality of input images is generated based on a plurality of descriptor maps respectively corresponding to the plurality of input images. Image merging performance may be enhanced by dividing the input image into the plurality of image tiles to increase distribution uniformity of the feature points.

Method of matching images to be merged and data processing device performing the same

Feature points included in input images are extracted and matching information indicating mapping relationships for feature points included in different input images is generated. A reference image is selected among the input images based on the matching information. Valid images are determined among the input images by excluding noise images from the input images based on the matching information. A two-dimensional bundle adjustment is performed to generate synchronized images by aligning the valid images to the reference image. A merged image is generated by merging the reference image and the synchronized images. Image merging performance is enhanced by selecting the reference image highly correlated with the other input images and estimating exact homography based on the reference image.

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Yongin-si, South Korea

Byungdeok Kim