I
Ian Clarke
Researcher at Epson
Publications - 24
Citations - 520
Ian Clarke is an academic researcher from Epson. The author has contributed to research in topics: Digital image & Image processing. The author has an hindex of 13, co-authored 24 publications receiving 520 citations.
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Patent
Method and system for recognizing a candidate character in a captured image
TL;DR: In this article, a system and method of recognizing characters in a captured image, including selecting a portion of the image encompassing a string of characters in the captured image to be recognized.
Patent
Method for determining camera position from two-dimensional images that form a panorama
TL;DR: In this article, a method of estimating 3D camera position information from a series of two-dimensional images that form a panorama employs common features in adjoining image pairs in the series to estimate a transform between the images in the pairs.
Patent
Block noise level evaluation method for compressed images and control method of imaging device utilizing the evaluation method
TL;DR: In this article, the authors converted an object RGB image into an image in a YIQ color space, and computed a smoothness degree of luminance variation at the target pixel as summation of absolute values of differences between luminance variations at each target pixel and adjacent pixels.
Patent
System and method for creating a panorama image from a plurality of source images
TL;DR: In this article, a system and method of creating a panorama image from a series of source images includes registering adjoining pairs of images in the series based on common features within the adjoining pairs.
Patent
Method and apparatus for improved training of object detecting system
Yury Yakubovich,Ivo Moravec,Yang Yang,Ian Clarke,Lihui Chen,Eunice Poon,Mikhail Brusnitsyn,Arash Abadpour,Dan Rico,Guoyi Fu +9 more
TL;DR: In this paper, computer rendering of CAD models is used to automate the dataset acquisition process and labeling process and a number of processed samples are generated from one or a few seed images.