A significant amount of research in the field of stereo vision has been published in the past
decade. Considerable progress has been made in improving accuracy of results as well as …

Despite the remarkable progress made by learning based stereo matching algorithms, one
key challenge remains unsolved. Current state-of-the-art stereo models are mostly based on …

Human beings process stereoscopic correspondence across multiple scales. However, this
bio-inspiration is ignored by state-of-the-art cost aggregation methods for dense stereo …

Object tracking and detection is a classical research area in the field of computer vision from
decades. Numerous kinds of applications are dependent on the area of object detection …

One of the most challenging issues in color guided depth map restoration is the
inconsistency between color edges in guidance color images and depth discontinuities on …

This paper presents a novel approach for depth video enhancement. Given a high-
resolution color video and its corresponding low-quality depth video, we improve the quality …

Local stereo matching has recently experienced large progress by the introduction of new
support aggregation schemes. These approaches estimate a pixel's support region via color …

5,454,043 A 9/1995 Freeman 5,544,050 A 8/1996 Abe etal. 5,581,276 A 12/1996 Cipollaet
a1. 5,594,469 A 1/1997 Freeman et al. 5,699,441 A 12/1997 Sagawaetal. 5,767,842 A …

Fast and accurate ellipse detection is critical in certain computer vision tasks. In this paper,
we propose an arc adjacency matrix-based ellipse detection (AAMED) method to fulfill this …

We present a new learning-based method for multi-frame depth estimation from a color
video, which is a fundamental problem in scene understanding, robot navigation or …