Papers Interest Point Detection
“Interest Point Detection” 태그가 달린 논문 26편 · 필터 해제
Self-supervised Interest Point Detection and Description for Fisheye and Perspective Images
Keypoint detection and matching is a fundamental task in many computer vision problems, from shape reconstruction, to structure from motion, to AR/VR applications and robotics. It is a well-studied problem with remarkabl…
Interest Point DetectionKeypoint DetectionSecond-order Anisotropic Gaussian Directional Derivative Filters for Blob Detection
Interest point detection methods have received increasing attention and are widely used in computer vision tasks such as image retrieval and 3D reconstruction. In this work, second-order anisotropic Gaussian directional …
3D ReconstructionImage RetrievalInterest Point DetectionRetrievalRethinking Low-level Features for Interest Point Detection and Description
Although great efforts have been made for interest point detection and description, the current learning-based methods that use high-level features from the higher layers of Convolutional Neural Networks (CNN) do not com…
Homography EstimationInterest Point DetectionSelf-Supervised LearningZippyPoint: Fast Interest Point Detection, Description, and Matching through Mixed Precision Discretization
Efficient detection and description of geometric regions in images is a prerequisite in visual systems for localization and mapping. Such systems still rely on traditional hand-crafted methods for efficient generation of…
Homography EstimationInterest Point DetectionQuantizationVisual LocalizationEventPoint: Self-Supervised Interest Point Detection and Description for Event-based Camera
This paper proposes a self-supervised learned local detector and descriptor, called EventPoint, for event stream/camera tracking and registration. Event-based cameras have grown in popularity because of their biological …
Interest Point DetectionPose EstimationSelf-Supervised LearningImage Feature Information Extraction for Interest Point Detection: A Review
Interest point detection is one of the most fundamental and critical problems in computer vision and image processing. In this paper, we carry out a comprehensive review on image feature information (IFI) extraction tech…
Interest Point DetectionMultiPoint: Cross-spectral registration of thermal and optical aerial imagery
While optical cameras are ubiquitous in robotics, some robots can sense the world in several sections of the electromagnetic spectrum simultaneously, which can extend their capabilities in fundamental ways. For instanc…
Interest Point DetectionDELTAS: Depth Estimation by Learning Triangulation And densification of Sparse points
Multi-view stereo (MVS) is the golden mean between the accuracy of active depth sensing and the practicality of monocular depth estimation. Cost volume based approaches employing 3D convolutional neural networks (CNNs) h…
Depth EstimationInterest Point DetectionMonocular Depth EstimationPose EstimationCAE-LO: LiDAR Odometry Leveraging Fully Unsupervised Convolutional Auto-Encoder for Interest Point Detection and Feature Description
As an important technology in 3D mapping, autonomous driving, and robot navigation, LiDAR odometry is still a challenging task. Appropriate data structure and unsupervised deep learning are the keys to achieve an easy ad…
Autonomous DrivingInterest Point DetectionRobot NavigationNeural Outlier Rejection for Self-Supervised Keypoint Learning
Identifying salient points in images is a crucial component for visual odometry, Structure-from-Motion or SLAM algorithms. Recently, several learned keypoint methods have demonstrated compelling performance on challengin…
Homography EstimationInterest Point DetectionKeypoint DetectionVisual OdometryR2D2: Reliable and Repeatable Detector and Descriptor
Interest point detection and local feature description are fundamental steps in many computer vision applications. Classical approaches are based on a detect-then-describe paradigm where separate handcrafted methods are …
Atari GamesCamera LocalizationImage MatchingInterest Point Detection+2R2D2: Repeatable and Reliable Detector and Descriptor
Interest point detection and local feature description are fundamental steps in many computer vision applications. Classical methods for these tasks are based on a detect-then-describe paradigm where separate handcrafted…
Interest Point DetectionKeypoint DetectionMetric LearningUSIP: Unsupervised Stable Interest Point Detection from 3D Point Clouds
In this paper, we propose the USIP detector: an Unsupervised Stable Interest Point detector that can detect highly repeatable and accurately localized keypoints from 3D point clouds under arbitrary transformations withou…
Interest Point DetectionInterest Point Detection based on Adaptive Ternary Coding
In this paper, an adaptive pixel ternary coding mechanism is proposed and a contrast invariant and noise resistant interest point detector is developed on the basis of this mechanism. Every pixel in a local region is ada…
Face RecognitionInterest Point DetectionQuantizationSIPs: Succinct Interest Points from Unsupervised Inlierness Probability Learning
A wide range of computer vision algorithms rely on identifying sparse interest points in images and establishing correspondences between them. However, only a subset of the initially identified interest points results in…
Interest Point DetectionPose EstimationVisual OdometrySuperPoint: Self-Supervised Interest Point Detection and Description
This paper presents a self-supervised framework for training interest point detectors and descriptors suitable for a large number of multiple-view geometry problems in computer vision. As opposed to patch-based neural ne…
Domain AdaptationHomography EstimationInterest Point DetectionBRISKS: Binary Features for Spherical Images on a Geodesic Grid
In this paper, we develop an interest point detector and binary feature descriptor for spherical images. We take as inspiration a recent framework developed for planar images, BRISK (Binary Robust Invariant Scalable Keyp…
Interest Point Detection4d isip: 4d implicit surface interest point detection
In this paper, we propose a new method to detect 4D spatiotemporal interest points though an implicit surface, we refer to as the 4D-ISIP. We use a 3D volume which has a truncated signed distance function(TSDF) for every…
Interest Point DetectionObjectQuad-networks: unsupervised learning to rank for interest point detection
Several machine learning tasks require to represent the data using only a sparse set of interest points. An ideal detector is able to find the corresponding interest points even if the data undergo a transformation typic…
Interest Point DetectionLearning-To-RankMesh Interest Point Detection Based on Geometric Measures and Sparse Refinement
Three dimensional (3D) interest point detection plays a fundamental role in 3D computer vision and graphics. In this paper, we introduce a new method for detecting mesh interest points based on geometric measures and spa…
Interest Point Detection