DETECTING PATH INTERSECTIONS IN PANORAMIC VIDEO

Xinding Sun*, Don Kimber + , Jonathan Foote + , B. S. Manjunath*
* Dept. of Electrical and Computer Engineering
University of California at Santa Barbara,
Santa Barbara, CA 93106
E-mail: {xdsun, manj}@ece.ucsb.edu

+ FX Palo Alto Laboratory, Inc.
3400 Hillview Avenue,
Palo Alto, CA 94304
E-mail:{kimber,foote}@fxpal.com
　

Abstract

Given panoramic video taken along a self-intersecting
path, we present a method for detecting the intersection
points. This allows “virtual tours” to be synthesized by
splicing the panoramic video at the intersection points.
Spatial intersections are detected by finding the best-matching
panoramic images from a number of nearby
candidates. Each panoramic image is segmented into
horizontal strips. Each strip is averaged in the vertical
direction. The Fourier coefficients of the resulting 1-D
data capture the rotation-invariant horizontal texture of
each panoramic image. The distance between two
panoramic images is calculated as the sum of the distances
between their strip texture pairs at the same row positions.
The intersection is chosen as the two candidate panoramic
images that have the minimum distance.