Is the real problem in resolving correspondence using current stereo algorithms the lack of the “right” matching criterion? In studying the related task of reconstructing threedimensional space curves from their projections in multiple views, we suggest that the problem is more basic: matching and reconstruction are coupled, and so reconstruction algorithms should exploit this rather than assum...

This paper deals with an absolute mobile robot selflocalization algorithm in an artificial indoor environment. Until now, localization methods based on conical omnidirectional vision sensors uniquely used radial segments from vertical environment landmarks projection. The main motivation of this work is to show that primitives other than radial straight lines are usable with a conical vision se...

Most cameras used in computer vision applications are still based on the pinhole principle inspired by our own eyes. It has been found though that this is not necessarily the optimal image formation principle for processing visual information using a machine. In this paper we describe how to find the optimal camera for 3D motion estimation by analyzing the structure of the space formed by the l...

The DARPA MOSAIC program applies multiscale optical design (shared objective lens and parallel array of microcameras) to the acquisition of high pixel count images. Interestingly, these images present as many challenges as opportunities. The imagery is acquired over many slightly overlapping fields with diverse focal, exposure and temporal parameters. Estimation of a consensus image, display of...

A statistical signal processing approach to multisensor image fusion is presented for concealed weapon detection (CWD). This approach is based on an image formation model in which the sensor images are described as the true scene corrupted by additive non-Gaussian distortion. The expectation-maximization (EM) algorithm is used to estimate the model parameters and the fused image. We demonstrate...

Ultrasound medical imaging is widely used nowadays in clinical application due to its intuitive, convenient, safety, non-invasive, and low cost. However, ultrasound image formation always comes with speckle-noise which will greatly reduce the image quality, and makes the identification and analysis of image detail become more challenging. Hence, we present an extended robust diffusion algorithm...

We study lower and upper bounds on the parameters for stochastic state vector reduction, focusing on the mass-proportional continuous spontaneous localization (CSL) model. We show that the assumption that the state vector is reduced when a latent image is formed, in photography or etched track detection, requires a CSL reduction rate parameter λ that is larger than conventionally assumed by a f...

The extraction of quantitative information through Intravascular Ultrasound (IVUS) images is a very important goal for the diagnostic and the therapy in atherosclerotic vessels. The correct interpretation highly depends on what gray level values of the image mean, i.e understanding of IVUS image formation. In this project, we propose a simple physical model for simulating IVUS images, based on ...

The goal of traditional probabilistic approaches to image segmentation has been to derive a single, optimal segmentation, given statistical models for the image formation process. In this paper, we describe a new probabilistic approach to segmentation, in which the goal is to derive a set of plausible segmentation hypotheses and their corresponding probabilities. Because the space of possible i...

We propose to combine image registration and volumetric reconstruction from a monocular video of a draining off Hele-Shaw cell filled with water. A Hele-Shaw cell is a tank whose depth is small (e.g. 1 mm) compared to the other dimensions (e.g. 400 × 800 mm2). We use a technique known as molecular tagging which consists in marking by photobleaching a pattern in the fluid and then tracking its d...