Navigation is a significant barrier to individuals with visual impairments. In response to this
barrier, a wearable stereo-vision system was investigated and a prototype system named …

Stereo matching is the central problem of stereovision paradigm. Area-based techniques
provide the dense disparity maps and hence they are preferred for stereo correspondence …

Visually impaired find their navigation difficult as they often lack the needed information for
bypassing obstacles and hazards. Electronic Travel Aids (ETAs) are devices that use sensor …

Stereo vision has long been one of the central research problems in computer vision, and
stereo matching is the most important and difficult issue of stereovision. We propose an …

Stereo matching obtains a depth map called a disparity map that indicates or shows the
positions of the objects in a scene. To estimate a disparity map, the most popular trend …

Stereo matching algorithms work with multiple images of a scene, taken from two viewpoints,
to generate depth information. Authors usually use a single matching function to generate …

This paper presents an entire scheme for the estimation of a sparse disparity map from
stereo pair images. In contrary to a dense disparity map, for which disparity values are …

Zitnick and Kanade stereo algorithm. The novelties in our algorithm are the use of a
balanced correlation window, the use of a new factor in the calculation of initial matching …

Conventional stereo matching techniques are based on the assumption that the features
representing an object in left and right images have fixed attribute values. But, in fact, such …

Stereo vision is becoming more and more common in three-dimensional visualization,
autonomous vehicle navigation, path finding, object recognition, and other computer vision …