We present several methods for the estimation of relative pose between planes and
cameras, based on projections of sets of coplanar features in images. While such methods …

We propose a new latent variable model for scene recognition. Our approach represents a
scene as a collection of region models (“parts”) arranged in a reconfigurable pattern. We …

We present a solution for generating high-quality stereo panoramas at megapixel
resolutions. While previous approaches introduced the basic principles, we show that those …

There has been a lot of activity recently surrounding the reconstruction of photorealistic 3D
scenes and high-resolution images from video sequences. We present some of our recent …

In this paper some applications of motion analysis are investigated for a compact panoramic
optical system (panoramic annular lens). Panoramic image acquisition makes multiple or …

Given an image, we propose a hierarchical generative model that classifies the overall
scene, recognizes and segments each object component, as well as annotates the image …

In this paper, we investigate the use of full spherical panoramic images for Structure from
Motion (SFM) algorithms. We introduce several error models for solving the pose problem …

We present a novel method for the real-time creation and tracking of panoramic maps on
mobile phones. The maps generated with this technique are visually appealing, very …

We present an approach to recognition of complex objects in cluttered 3-D scenes that does
not require feature extraction or segmentation. Our object representation comprises …