This state of the art report covers reconstruction methods for transparent and specular
objects or phenomena. While the 3D acquisition of opaque surfaces with Lambertian …

In this paper, we present a flexible new technique for single viewpoint omnidirectional
camera calibration. The proposed method only requires the camera to observe a planar …

We illustrate how to consider a network of cameras as a single generalized camera in a
framework proposed by Nayar (2001). We derive the discrete structure from motion …

Linear perspective projection has served as the dominant imaging model in computer vision.
Recent developments in image sensing make the perspective model highly restrictive. This …

Reflections on glossy objects contain valuable and hidden information about the
surrounding environment. By converting these objects into cameras, we can unlock exciting …

We present a theory and algorithms for a generic calibration concept that is based on the
following recently introduced general imaging model. An image is considered as a collection …

This paper presents a method for fully automatic and robust estimation of two-view
geometry, autocalibration, and 3D metric reconstruction from point correspondences in …

Despite progress in stereo reconstruction and structure from motion, 3D scene
reconstruction from multiple images still faces many difficulties, especially in dealing with …

A computational camera uses a combination of optics and processing to produce images
that cannot be captured with traditional cameras. In the last decade, computational imaging …

Central catadioptric cameras are imaging devices that use mirrors to enhance the field of
view while preserving a single effective viewpoint. In this paper, we propose a novel method …