Recent years have witnessed enormous progress in AI-related fields such as computer
vision, machine learning, and autonomous vehicles. As with any rapidly growing field, it …

Deep learning has recently demonstrated its excellent performance for multi-view stereo
(MVS). However, one major limitation of current learned MVS approaches is the scalability …

Learning-based multi-view stereo (MVS) methods have demonstrated promising results.
However, very few existing networks explicitly take the pixel-wise visibility into consideration …

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 …

In recent years, deep learning-based approaches have shown great strength in multi-view
stereo because of their outstanding ability to extract robust visual features. However, most …

Automated 3D reconstruction based on satellite images has become a research hotspot at
the interdisciplinary of photogrammetry and computer vision. The 3D results based on …

One of the most successful approaches in Multi-View Stereo estimates a depth map and a
normal map for each view via PatchMatch-based optimization and fuses them into a …

The ambiguity in image matching is one of main factors decreasing the quality of the 3D
model reconstructed by PatchMatch based multiple view stereo. In this paper, we present a …

Deep Neural Networks (DNNs) have the potential to improve the quality of image-based 3D
reconstructions. However, the use of DNNs in the context of 3D reconstruction from large …