One of the main problems to obtain a Euclidean 3D reconstruction from multiple views is the calibration of the camera. Explicit calibration is not always practical and has to be repeated regularly. Sometimes it is even impossible (i.e. for pictures taken by an unknown camera of an unknown scene). The second possibility is to do auto-calibration. Here the rigidity of the scene is used to obtain ...

A new practical method is given for the self-calibration of a camera. In this method, at least three images are taken from the same point in space with different orientations of the camera and calibration is computed from an analysis of point matches between the images. The method requires no knowledge of the orientations of the camera. Calibration is based on the image correspondences only. Th...

In this paper we describe a factorization-based method for Euclidean reconstruction with a perspective camera model. It iteratively recovers shape and motion by weak perspective factorization method and converges to a perspective model. We discuss the approach of solving the reversal shape ambiguity and analyze its convergence. We also present a factorization-based method to recover Euclidean s...

This talk will describe a new approach to visual imaging called nonfrontal imaging. This has lead to the design of a new type of camera which has three salient characteristics: I t can provide panoramic images of upto 360 degree views of a scene. Each object is in complete focus regardless of its location. The camera also delivers the coordinates of each focusable, visible scene point, in addit...

The MVP model-based sensor planning system for robotic vision is presented. MVP automatically synthesizes desirable camera views of a scene based on geometric models of the environment, optical models of the vision sensors, and models of the task to be achieved. The generic task of feature detectability has been chosen since it is applicable to many robot-controlled vision systems. For such a t...

This paper presents a novel 360° High-Dynamic Range (HDR) camera for real-time 3D 360° panoramic computer vision. The camera consists of (1) a pair of bio-inspired dynamic vision line sensors (1024 pixel each) asynchronously generating events at high temporal resolution with on-chip time stamping (1µs resolution), having a high dynamic range and the sparse visual coding of the information, (2) ...

The convergence of inexpensive digital cameras and cheap hardware for displaying stereoscopic images has created the right conditions for the proliferation of stereoscopic imaging applications. One application, which is of growing importance to museums and cultural institutions, consists of capturing and displaying 3D images of objects at multiple orientations. In this paper, we present our ste...

We introduce zePPeLIN, a distributed system designed to address the challenges of path planning in large, cluttered, and dynamic environments. The objective is to define the sequence of instructions to move a ground object from an initial to a final configuration in the environment. zePPeLIN is based on a set of wirelessly networked devices, each equipped with a camera, deployed in environment....

3D reconstructions from photographs often exhibit poor robustness and global consistency. This is a problem in applications such as model acquisition and registration where global consistency is needed to ensure that the reconstruction looks acceptable from all views. Our goal is to develop a robust reconstruction approach which leads to better consistency between viewpoints. We do this by solv...