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 …

This paper presents HITNet, a novel neural network architecture for real-time stereo
matching. Contrary to many recent neural network approaches that operate on a full …

This work presents a Multi-View Stereo system for robust and efficient dense modeling from
unstructured image collections. Our core contributions are the joint estimation of depth and …

In this paper, we propose an efficient multi-scale geometric consistency guided multi-view
stereo method for accurate and complete depth map estimation. We first present our basic …

In this paper, we propose some efficient multi-view stereo methods for accurate and
complete depth map estimation. We first present our basic methods with Adaptive …

Common local stereo methods match support windows at integer-valued disparities. The
implicit assumption that pixels within the support region have constant disparity does not …

This paper presents a fast algorithm for restoring video sequences. The proposed algorithm,
as opposed to existing methods, does not consider video restoration as a sequence of …

In this paper, we propose a depth-map merging based multiple view stereo method for large-
scale scenes which takes both accuracy and efficiency into account. In the proposed …

In this paper, we formulate a stereo matching algorithm with careful handling of disparity,
discontinuity and occlusion. The algorithm works with a global matching stereo model based …

This paper presents a new stereo matching algorithm based on inter-regional cooperative
optimization. The proposed algorithm uses regions as matching primitives and defines the …