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We propose a new approach to segmenting a hand accurately from a single depth image. Given a depth image, we extract first a rough hand region of interest (RoI) including a hand and a part of an arm. Then, the RoI is partitioned into triangles by using a constrained Delaunay triangulation (CDT) approach from which hand segmentation proposals are generated. Each segmentation proposal is evaluated by...
This paper presents a robust text detection approach based on generalized color-enhanced contrasting extremal region (CER) and neural networks. Given a color natural scene image, six component-trees are built from its gray scale image, hue and saturation channel images in a perception-based illumination invariant color space, and their inverted images, respectively. From each component-tree, generalized...
We have proposed previously a component-tree based approach to user-intention guided text extraction from natural scene images. In this paper, in addition to improving the performance of text extraction algorithm for "swipe" gesture, the algorithm has also been extended to support a new mode of using "tap" gesture to indicate the intended text. Given a grayscale image, two component-trees...
We have developed a prototype of a mobile app called "Snap and Translate" on "Windows Phone 7". A person who is reading an English menu/sign and wants a Chinese translation of an English word or phrase or paragraph can use a Windows Phone to snap an image of the text, tap the word or swipe the phrase or circle the paragraph with a finger, and get a Chinese translation displayed...
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