We introduce the problem of scene viewpoint recognition, the goal of which is to classify the
type of place shown in a photo, and also recognize the observer's viewpoint within that …

The results of earlier studies on the possibility of spatial localization from panoramic images
have shown good prospects for view-based methods. The major advantages of these …

Full panoramic images, covering 360 degrees, can be created either by using panoramic
cameras or by mosaicing together many regular images. Creating panoramic views in …

While navigating in an environment, a vision system has to be able to recognize where it is
and what the main objects in the scene are. We present a context-based vision system for …

We introduce a novel strategy for learning to extract semantically meaningful features from
aerial imagery. Instead of manually labeling the aerial imagery, we propose to predict …

Recognizing object classes and their 3D viewpoints is an important problem in computer
vision. Based on a part-based probabilistic representation [31], we propose a new 3D object …

Omni-directional sensors are useful in obtaining a 360/spl deg/field of view with a single
lens camera. This work describes how sensors can be designed for obtaining stereo …

Knowledge about the imaging geometry and acquisition parameters provides useful
geometric constraints for the analysis and extraction of man-made features in aerial imagery …

Representations for interactive photorealistic visualization of scenes range from compact 2D
panoramas to data-intensive 4D light fields. In this paper, we propose a technique for …

Pictures taken by a rotating camera cover the viewing sphere surrounding the center of
rotation. Having a set of images registered and blended on the sphere what is left to be …