Stereo Model Selection and Point Cloud Filtering using an Out-of-Core Octree [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 Dense image matching methods enable the retrieval of dense surface information using any kind of imagery. The best quality can be achieved for highly overlapping datasets, which avoids occlusions and provides highly redundant observations.
K. Wenzel, N. Haala, D. Fritsch
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HIERARCHICAL APPROACH FOR DETECTING CHANGES WITH THE USE OF DIFFERENT PYRAMID LEVELS IN DENSE IMAGE MATCHING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Many cities order spatial data systematically, in particular aerial nadir images and orthophotomaps. However, only the orthoimages and orthophotomaps are usually used by the city administration, particularly in spatial planning. Some of the users are not
M. Pilarska
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Influence of Block Geometry Configuration on Multi-Image Dense Matching
Remote Sensing, 2022 Digital photogrammetry is a widespread surveying technique in different fields of application due to its flexibility, versatility and cost-effectiveness.
Nazarena Bruno +4 more
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Dense Image-Matching via Optical Flow Field Estimation and Fast-Guided Filter Refinement
Remote Sensing, 2019 The development of an efficient and robust method for dense image-matching has been a technical challenge due to high variations in illumination and ground features of aerial images of large areas.
Wei Yuan +4 more
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Reliable fusion of ToF and stereo depth driven by confidence measures [PDF]
, 2016 In this paper we propose a framework for the fusion of depth data produced by a Time-of-Flight (ToF) camera and stereo vision system. Initially, depth data acquired by the ToF camera are upsampled by an ad-hoc algorithm based on image segmentation and ...
Marin, Giulio +2 more
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UNSUPERVISED MULTI-CONSTRAINT DEEP NEURAL NETWORK FOR DENSE IMAGE MATCHING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Dense image matching is essential to photogrammetry applications, including Digital Surface Model (DSM) generation, three dimensional (3D) reconstruction, and object detection and recognition.
W. Yuan +5 more
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Social Scene Understanding: End-to-End Multi-Person Action Localization and Collective Activity Recognition [PDF]
, 2016 We present a unified framework for understanding human social behaviors in raw image sequences. Our model jointly detects multiple individuals, infers their social actions, and estimates the collective actions with a single feed-forward pass through a ...
Alahi, Alexandre +4 more
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CNN-Based Dense Image Matching for Aerial Remote Sensing Images
Photogrammetric Engineering & Remote Sensing, 2019 Dense stereo matching plays a key role in 3D reconstruction. The capability of using deep learning in the stereo matching of remote sensing data is currently uncertain. This article investigated the application of deep learning–based stereo methods in aerial image series and proposed a deep learning–based multi-view dense matching framework. First, we
Ji, Shunping, Liu, Jin, Lu, Meng
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A Novel Multi-Sensor Image Matching Algorithm Based on Adaptive Multiscale Structure Orientation
IEEE Access, 2019 Automatic and reliable multi-sensor image matching is a very challenging task due to the significant nonlinear radiometric differences between multi-sensor images. In this paper, a novel dense descriptor based on adaptive multiscale structure orientation
Jiazhen Lu, Fangde Sun, Jing Dong
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Benchmarking High Density Image Matching for Oblique Airborne Imagery [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 Both, improvements in camera technology and new pixel-wise matching approaches triggered the further development of software tools for image based 3D reconstruction. Meanwhile research groups as well as commercial vendors provide photogrammetric software
S. Cavegn +4 more
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