Sentence examples for a hand segmentation from inspiring English sources

where T x,y) is a searched template at coordinates (x,y), and H (x,y) is a hand segmentation result when the search is running.

In stage (i), the user is required to input a hand-segmentation of the nematode and its corresponding width for a single image (see Video S1).

Based on this observation, we propose an online-learning hand segmentation approach without using manually labeled data for training.

As shown in Fig. 8, we evaluate the applicability of hand segmentation by an application of virtual keyboard interaction.

In this paper, we presented an unsupervised on-the-fly hand segmentation method which consists of top-down classification and bottom-up optimization.

Here, we address a coarse-to-fine strategy-based hand segmentation method that learns appearance feature of hand and background on-the-fly.

We analyze and optimize the online trained classifiers by a bottom-up method which makes the hand segmentation robust to varying environmental conditions.

Then, the pixel samples of hand are extracted according to confidences of the superpixels and used to train a pixel-level classifier which produces fine-grained hand segmentation.

In this section, we discuss an unsupervised online learning method for fine-grained hand segmentation based on top-down classification and bottom-up optimization.

Therefore, we use a simple fingertip detection method to further evaluate our hand segmentation method from the practical point of view.

Depending on the complexity of the model there can be a number of varied steps in the segmentation process, including hand segmentation, which can be time intensive.