Stereo matching is one of the longest-standing problems in computer vision with close to 40
years of studies and research. Throughout the years the paradigm has shifted from local …

The acquisition of high-resolution, real-time three-dimensional surface data of dynamically
moving objects has large applicability in many fields. When additional restrictions such as …

It is a grand challenge for an imaging system to simultaneously obtain multi-dimensional
light field information, such as depth and polarization, of a scene for the accurate perception …

We present a structured lighting system for creating high-resolution stereo datasets of static
indoor scenes with highly accurate ground-truth disparities. The system includes novel …

Photogrammetry and geosciences have been closely linked since the late 19th century due
to the acquisition of high-quality 3-D data sets of the environment, but it has so far been …

Visual SLAM (simultaneous localization and map**) refers to the problem of using
images, as the only source of external information, in order to establish the position of a …

Image matching has a history of more than 50 years, with the first experiments performed
with analogue procedures for cartographic and map** purposes. The recent integration of …

Remarkable technological developments for efficient image recognition (ie, image
acquisition and image data processing) have been reported in the past decade. Such …

Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …

This paper presents a literature survey on existing disparity map algorithms. It focuses on
four main stages of processing as proposed by Scharstein and Szeliski in a taxonomy and …