4.3 Article

An evaluation of conventional and deep learning-based image-matching methods on diverse datasets

Related references

Note: Only part of the references are listed.
Article Geography, Physical

ROTATION-INVARIANT SELF-SIMILARITY DESCRIPTOR FOR MULTI-TEMPORAL REMOTE SENSING IMAGE REGISTRATION

Nazila Mohammadi et al.

Summary: This paper presents a novel approach for the registration of multi-sensor remote sensing images with substantial time differences. The proposed method shows significant advantages in feature extraction, feature descriptor generation, outlier rejection, and transformation model estimation, and it has been demonstrated to be reliable through experiments.

PHOTOGRAMMETRIC RECORD (2022)

Article Geography, Physical

AUTOMATED REGISTRATION OF SfM-MVS MULTITEMPORAL DATASETS USING TERRESTRIAL AND OBLIQUE AERIAL IMAGES

Luigi Parente et al.

Summary: The paper assesses an automated registration strategy using the scale-invariant feature transform (SIFT) algorithm in modern photogrammetric software, demonstrating accurate alignment of multitemporal point clouds. The combination of the Time-SIFT approach with an ICP algorithm showed moderate improvements in alignment accuracy. Additionally, the use of an innovative direct georeferencing technique with a robotic total station enabled accurate georectification of 3D models.

PHOTOGRAMMETRIC RECORD (2021)

Article Geography, Physical

A NEW PRODUCTIVE FRAMEWORK FOR POINT-BASED MATCHING OF OBLIQUE AIRCRAFT AND UAV-BASED IMAGES

Sila Bas et al.

Summary: A novel productive framework for point-based feature matching of oblique aircraft and UAV imagery has been proposed, utilizing the AKAZE descriptor and an iterative scheme for constructing tentative matches. The framework achieved successful results in terms of matching precision and outperformed previously developed approaches in the same context.

PHOTOGRAMMETRIC RECORD (2021)

Article Geography, Physical

An automatic workflow for orientation of historical images with large radiometric and geometric differences

Ferdinand Maiwald et al.

Summary: This study proposes a workflow for fully automatic orientation of historical urban images, utilizing a neural network for feature extraction and nearest neighbor matching, as well as vanishing point detection for estimating camera principal distance. Results show that the proposed method outperforms other SfM tools and is planned for knowledge transfer in cultural heritage applications.

PHOTOGRAMMETRIC RECORD (2021)

Article Geography, Physical

AUTOMATED REGISTRATION OF SfM-MVS MULTITEMPORAL DATASETS USING TERRESTRIAL AND OBLIQUE AERIAL IMAGES

Luigi Parente et al.

Summary: This paper evaluates an automated registration strategy using the SIFT algorithm, known as Time-SIFT, and found that it can achieve accurate multitemporal point cloud alignments under various conditions. Combining the Time-SIFT approach with the ICP algorithm results in moderate alignment improvements, and the use of innovative direct georeferencing technique allows for accurate georectification of 3D models.

PHOTOGRAMMETRIC RECORD (2021)

Article Geography, Physical

A NEW PRODUCTIVE FRAMEWORK FOR POINT-BASED MATCHING OF OBLIQUE AIRCRAFT AND UAV-BASED IMAGES

Sila Bas et al.

Summary: A novel productive framework for point-based feature matching of oblique aircraft and UAV imagery is proposed, using the AKAZE descriptor for feature extraction and an iterative scheme to construct tentative matches. Cross checks and Lowe's distance ratio test are used for filtering erroneous matches, while robust approaches like graph-cut RANSAC are evaluated for extracting putative matches.

PHOTOGRAMMETRIC RECORD (2021)

Article Computer Science, Artificial Intelligence

A Performance Evaluation of Local Features for Image-Based 3D Reconstruction

Bin Fan et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2019)

Proceedings Paper Computer Science, Artificial Intelligence

ContextDesc: Local Descriptor Augmentation with Cross-Modality Context

Zixin Luo et al.

2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019) (2019)

Proceedings Paper Computer Science, Artificial Intelligence

Comparative Evaluation of Hand-Crafted and Learned Local Features

Johannes L. Schonberger et al.

30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)

Proceedings Paper Computer Science, Artificial Intelligence

ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes

Angela Dai et al.

30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)

Proceedings Paper Computer Science, Artificial Intelligence

HPatches: A benchmark and evaluation of handcrafted and learned local descriptors

Vassileios Balntas et al.

30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)

Article Computer Science, Artificial Intelligence

DAISY: An Efficient Dense Descriptor Applied to Wide-Baseline Stereo

Engin Tola et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2010)

Article Computer Science, Artificial Intelligence

ASIFT: A New Framework for Fully Affine Invariant Image Comparison

Jean-Michel Morel et al.

SIAM JOURNAL ON IMAGING SCIENCES (2009)

Article Computer Science, Artificial Intelligence

Speeded-Up Robust Features (SURF)

Herbert Bay et al.

COMPUTER VISION AND IMAGE UNDERSTANDING (2008)

Article Computer Science, Artificial Intelligence

A performance evaluation of local descriptors

K Mikolajczyk et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2005)