The Penn State Research Foundation

Siqiong He

James Z Wang

Jia Li

Zihan Zhou

An intelligent system detects triangles in digital photographic images, including portrait photography. The method extracts a set of filtered line segments as candidate triangle sides and/or objects as candidate triangle vertices. A modified RANSAC algorithm is utilized to fit triangles onto the set of line segments and/or vertices. Two metrics may then be used evaluate the fitted triangles. Those with high fitting scores are considered as detected triangles. The system can accurately locate preeminent triangles in photographs without any knowledge about the camera parameters or lens choices. The invention can also help amateurs gain a deeper understanding and inspirations from professional photographic works.

Automatic, computer-based detection of triangular compositions in digital photographic images

A composition model is developed based on the image segmentation and the vanishing point of the scene. By integrating both photometric and geometric cues, better segmentation is provided. These cues are directly used to detect the dominant vanishing point in an image without extracting any line segments. Based on the composition model, a novel image retrieval system is developed which can retrieve images with similar compositions as the query image from a collection of images and provide feedback to photographers.

Growing community of inventors

Mountain View, CA, United States of America

Siqiong He