University Events

Description: TOPIC: IMPLEMENTING IMAGE STITCHING USING SCALE INVARIANT FEATURE TRANSFORM

LOCATION: Lester W. Cory Conference Room, Science & Engineering Building (Group II), Room 213A

ABSTRACT:
Image Stitching is an important technique in the field of image processing and computer graphics. Stitched images are used in applications such as interactive panoramic viewing of images, architectural walk-through, multi-node movies and other applications related to modelling the 3D environment. Image processing techniques treat the images as a two-dimensional signal and thus standard signal processing techniques can be applied for them. The output of image processing process may be either an image or a set of characteristics or parameters related to the image. As one of image processing techniques, image stitching specifically presents different stages to render two or more overlapping images into a seamless stitched image, from the detection of features to blending in a final image.

In this project, a Scale Invariant Feature Transform (SIFT) algorithm is applied to perform the detection and matching control points step, due to its good properties. SIFT algorithm is a novel technique to calculate the key features of an image which are invariant in size as well as orientation. This project mainly uses SIFT algorithm for the implementation of the image stitching technique. The image stitching technique was tested on several image sets to demonstrate its effectiveness.

NOTE: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.

Advisor: Dr. Honggang Wang

Committee Members: Dr. Liudong Xing, Department of Electrical & Computer Engineering and
Dr. Firas Khatib, Department of Computer and Information Science

*For further information, please contact Dr. Honggang Wang at 508.999.8469 or via email at hwang1@umassd.edu.