IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Range estimation from focus using a non-frontal imaging camera
International Journal of Computer Vision
Nonmetric Calibration of Wide-Angle Lenses and Polycameras
IEEE Transactions on Pattern Analysis and Machine Intelligence
Omnistereo: Panoramic Stereo Imaging
IEEE Transactions on Pattern Analysis and Machine Intelligence
Panoramic mosaics by manifold projection
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Creating Image-Based VR Using a Self-Calibrating Fisheye Lens
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Catadioptric Omnidirectional Camera
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Acquisition of a Large Pose-Mosaic Dataset
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Omnifocused 3D Display Using the Nonfrontal Imaging Camera
CVVRHC '98 Proceedings of the 1998 Workshop on Computer Vision for Virtual Reality Based Human Communications (CVVRHC '98)
A Complete Panoramic Vision System, Incorporating Imaging, Ranging, and Three Dimensional Navigation
OMNIVIS '00 Proceedings of the IEEE Workshop on Omnidirectional Vision
Catadioptric Sensors that Approximate Wide-Angle Perspective Projections
OMNIVIS '00 Proceedings of the IEEE Workshop on Omnidirectional Vision
Panoramic Virtual Stereo Vision of Cooperative Mobile Robots for Localizing 3D Moving Objects
OMNIVIS '00 Proceedings of the IEEE Workshop on Omnidirectional Vision
Multiview Panoramic Cameras Using a Mirror Pyramid
OMNIVIS '02 Proceedings of the Third Workshop on Omnidirectional Vision
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
On Generating Seamless Mosaics with Large Depth of Field
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optical Splitting Trees for High-Precision Monocular Imaging
IEEE Computer Graphics and Applications
Instantaneous robot self-localization and motion estimation with omnidirectional vision
Robotics and Autonomous Systems
A hemispherical imaging camera
Computer Vision and Image Understanding
A novel omnidirectional stereo vision system with a single camera
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part II
The ultimate immersive experience: panoramic 3d video acquisition
MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
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A mirror pyramid consists of a set of planar mirror faces arranged around an axis of symmetry and inclined to form a pyramid. By strategically positioning a number of conventional cameras around a mirror pyramid, the viewpoints of the cameras' mirror images can be located at a single point within the pyramid and their optical axes pointed in different directions to effectively form a virtual camera with a panoramic field of view. Mirror pyramid-based panoramic cameras have a number of attractive properties, including single-viewpoint imaging, high resolution, and video rate capture. It is also possible to place multiple viewpoints within a single mirror pyramid, yielding compact designs for simultaneous multiview panoramic video rate imaging. Nalwa [4] first described some of the basic ideas behind mirror pyramid cameras. In this paper, we analyze the general class of multiview panoramic cameras, provide a method for designing these cameras, and present experimental results using a prototype we have developed to validate single-pyramid multiview designs. We first give a description of mirror pyramid cameras, including the imaging geometry, and investigate the relationship between the placement of viewpoints within the pyramid and the cameras' field of view (FOV), using simulations to illustrate the concepts. A method for maximizing sensor utilization in a mirror pyramid-based multiview panoramic camera is also presented. Images acquired using the experimental prototype for two viewpoints are shown.