Object Detection Using Multiview Stereo Images

Textured Object Detection in Stereo Images using Visual Features

A robot can be easily modified to gather depth data alongside optical images. When combined with an effective object detection framework, this allows the robot to not only identify potentially interesting objects but locate their position and orientation within the world. This information is useful for obstacle avoidance and navigation, locating landmarks for positioning, and for locating a tar...

Multiview stereo object reconstruction with a one-line search method

We propse the one-line search (OLS) method for estimating the three-dimensional (3-D) model of an object from a sequence of images where the object is visible from different points of view. The OLS method estimates each 3-D point through a OLS along the ray defined by the camera center and its two-dimensional (2-D) image projection in one view by maximizing a photo-consistency index built with ...

On New View Synthesis Using Multiview Stereo

We show that application of modern multiview stereo techniques to the newview synthesis (NVS) problem introduces a number of non-trivial complexities. By simultaneously solving for the colour and depth of the new-view pixels we can eliminate the visual artefacts that conventional NVS-via-stereo suffers. The global occlusion reasoning which has led to considerable improvements in recent stereo a...

Stereo and Multiview Geometry

Automatic Road Detection and Extraction From MultiSpectral Images Using a New Hierarchical Object-based Method

Road detection and Extraction is one of the most important issues in photogrammetry, remote sensing and machine vision. A great deal of research has been done in this area based on multispectral images, which are mostly relatively good results. In this paper, a novel automated and hierarchical object-based method for detecting and extracting of roads is proposed. This research is based on the M...