System and Method for Detecting Objects in an Image

摘要

A method for cropping photos images captured by a user from an image of a page of a photo album is described. Corners in the page image are detected using corner detection algorithm or by detecting intersections of line-segments (and their extensions) in the image using edge, corner, or line detection techniques. Pairs of the detected corners are used to define all potential quads, which are then are qualified according to various criteria. A correlation matrix is generated for each potential pair of the qualified quads, and candidate quads are selected based on the Eigenvector of the correlation matrix. The content of the selected quads is checked using a salience map that may be based on a trained neuron network, and the resulting photos images are extracted as individual files for further handling or manipulation by the user.

主权项

1. A method for detecting one or more rectangular-shaped object regions from a background in a captured image, the method comprising:
obtaining the captured image by a digital camera; analyzing the captured image using a deep convolutional neural network for detecting the object regions; enhancing the image in each of the detected regions; and cropping or extracting from the captured image each of the enhanced detected regions into a respective file, wherein the objects are rectangular-based photographs, receipts, business cards, sticky notes, printed newspapers, or stamps.