Novel image acquisition tools such as micro aerial vehicles (MAVs) in form of quad- or octo-rotor helicopters support the creation of 3D reconstructions with ground sampling distances below 1 cm. The limitation of aer...
详细信息
Novel image acquisition tools such as micro aerial vehicles (MAVs) in form of quad- or octo-rotor helicopters support the creation of 3D reconstructions with ground sampling distances below 1 cm. The limitation of aerial photogrammetry to nadir and oblique views in heights of several hundred meters is bypassed, allowing close-up photos of facades and ground features. However, the new acquisitionmodality also introduces challenges: First, flight space might be restricted in urban areas, which leads to missing views for accurate 3D reconstruction and causes fracturing of large models. This could also happen due to vegetation or simply a change of illumination during image acquisition. Second, accurate geo-referencing of reconstructions is difficult because of shadowed GPS signals in urban areas, so alignment based on GPS information is often not possible. In this paper, we address the automatic fusion of such partial reconstructions. Our approach is largely based on the work of (Wendel et al., 2011a), but does not require an overhead digital surface model for fusion. Instead, we exploit that patch-based semi-dense reconstruction of the fractured model typically results in several point clouds covering overlapping areas, even if sparse feature correspondences cannot be established. We approximate orthographic depth maps for the individual parts and iteratively align them in a global coordinate system. As a result, we are able to generate point clouds which are visually more appealing and serve as an ideal basis for further processing. Mismatches between parts of the fused models depend only on the individual point density, which allows us to achieve a fusion accuracy in the range of 1 cm on our evaluation dataset.
In this paper we present a novel method to increase the spatial resolution of depth images. We combine a deep fully convolutional network with a non-local variational method in a deep primal-dual network. The joint ne...
详细信息
Pointer warping can be an effective alternative to relocate the mouse pointer to a remote display in multi-display environments. It minimizes the mouse pointer travel and does not require the user to search for a path...
详细信息
The use of Augmented Reality for overlaying visual information on print media like street posters has become widespread over the last few years. While this user interface metaphor represents an instance of cross-media...
详细信息
The modern education environment is changing rapidly, as is the technology that is being utilized for educational purposes. Emerging advanced technologies such as artificial intelligence (AI), machine learning, cloud ...
详细信息
For on-line learning algorithms, which are applied in many vision tasks such as detection or tracking, robust integration of unlabeled samples is a crucial point. Various strategies such as self-training, semi-supervi...
详细信息
Object detection and recognition algorithms are an integral part of the architecture of many modern image processing systems employing computervision (CV) techniques. In this paper we describe our work in the area of...
详细信息
In this paper we propose an efficient method to calculate a high-quality depth map from a single raw image captured by a light field or plenoptic camera. The proposed model combines the main idea of Active Wavefront S...
详细信息
Covariance matrices have recently been a popular choice for versatile tasks like recognition and tracking due to their powerful properties as local descriptor and their low computational demands. This paper outlines s...
详细信息
In this paper we propose an efficient unsupervised texture segmentation method. We introduce a texture extension of a state-of-the-art color segmentation algorithm. We show how to use covariance matrices of low level ...
详细信息
暂无评论