Method for displaying field e.g. tumor, of brain of human patient during surgery of brain, involves acquiring topography data representing topography of field, where output image is displayed based on topography data
Publications associées (36)
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A display system comprising a reflective display configured to display a luminance component associated with a color input signal and a projector configured to project a chrominance component associated with the color input signal onto the reflective displ ...
We address the problem of re-rendering images to high dynamic range (HDR) displays, which were originally tone-mapped to standard displays. As these new HDR displays have a much larger dynamic range than standard displays, an image rendered to standard mon ...
Given two video sequences (IS1, IS2), a composite video sequence can be generated which includes visual elements from each of the given sequences, suitably synchronized and represented in a chosen focal plane (figure 1). For example, given two video sequen ...
NOVELTY - The display method involves evaluating the sequence of images by: associating a first analysis image value to pixels in the first sequence of images to which pixels of same locations of the field (11) are imaged, respectively; associating a secon ...
In this paper, we present a fast method to detect humans from videos captured in surveillance applications. It is based on a cascade of LogitBoost classifiers relying on features mapped from the Riemanian manifold of region covariance matrices computed fro ...
The objective of this diploma thesis was the recognition of vehicles, with perspective to generate a knowledge base for the automatic recognition of vehicles from similar type of data. The goal was achieved by developing a knowledge base in the object-orie ...
We propose a new approach for image segmentation at different scales of observation, based on a multiscale image decomposition and on the active contour segmentation model. The proposed method consists of two steps. Firstly, a representation of a given ima ...
An important branch of computer vision is image segmentation. Image segmentation aims at extracting meaningful objects lying in images either by dividing images into contiguous semantic regions, or by extracting one or more specific objects in images such ...
We investigate the learning of the appearance of an object from a single image of it. Instead of using a large number of pictures of an object to be recognized, we use pictures of other objects to learn invariance to noise and variations in pose and illumi ...
A key research area in computer vision is image segmentation. Image segmentation aims at extracting objects of interest in images or video sequences. These objects contain relevant information for a given application. For example, a video surveillance appl ...