Image Redundancy Filtering for Panorama Stitching

Real-Time Spherical Panorama Image Stitching Using OpenCL

This paper presents a webcam-based spherical coordinate conversion system using OpenCL massive parallel computing for panorama video image stitching. With multi-core architecture and its high-bandwidth data transmission rate of memory accesses, modern programmable GPU makes it possible to process multiple video images in parallel for real-time interaction. To get a panorama view of 360 degrees,...

Holistic Video Stitching for Street Panorama

In this paper, we address how to automatically generate a panorama for a street view from a long video sequence. We model the panorama as a low-rank matrix and formulate the problem as one of ro­ bust recovery of the low-rank matrix from highly incomplete, corrupted, deformed measurements (the video frames). We leverage powerful high­ dimensional convex optimization tools from compressive sensi...

A Unified Framework for Street-View Panorama Stitching

In this paper, we propose a unified framework to generate a pleasant and high-quality street-view panorama by stitching multiple panoramic images captured from the cameras mounted on the mobile platform. Our proposed framework is comprised of four major steps: image warping, color correction, optimal seam line detection and image blending. Since the input images are captured without a precisely...

Automatic Panoramic Image Stitching

Seam-Driven Image Stitching

Image stitching computes geometric transforms to align images based on the best fit of feature correspondences between overlapping images. Seam-cutting is used afterwards to to hide misalignment artifacts. Interestingly it is often the seam-cutting step that is the most crucial for obtaining a perceptually seamless result. This motivates us to propose a seam-driven image stitching strategy wher...