Amazon Technologies, Inc.

David Ting-Yu Wu

Amit Kumar Agrawal

Qiang Liu

Rohith Mysore Vijaya Kumar

Visesh Uday Kumar Chari

Abhishek Singh

Lelin Zhang

Devices and techniques are generally described for segmentation of object image data from background image data. In some examples, the segmentation of object image data may comprise capturing image data comprising color data and depth data. In some examples, the segmentation of object image data may further include separating the depth data into a plurality of clusters of image data, wherein each cluster is associated with a respective range of depth values. In various examples, the segmentation of object image data may comprise selecting a main cluster of image data as corresponding to an object of interest in the image data. In various other examples, the segmentation of object image data may comprise identifying pixels of the main cluster that correspond to the object of interest.

Segmentation of object image data from background image data

Features are disclosed for classifying pixels included in a digital image. Distance information from a pixel to structural reference points, such as skeletal joints, is generated. The distance information is then applied to a pixel classifier to identify one or more classifications for the pixel.

Pixel-structural reference image feature extraction

Growing community of inventors

Sunnyvale, CA, United States of America

David Ting-Yu Wu