Results 11 to 20 of about 11,197 (235)
Filtering Keypoints with ORB Features [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesKeypoint detectors and descriptors are essential for identifying points and their correspondences in overlapping images, being fundamental inputs for many subsequent processes, including Pose Estimation, Visual Odometry, vSLAM, Object Detection, Object ...
T. A. C. Garcia +3 more
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Scale-invariant corner keypoints
2014 IEEE International Conference on Image Processing (ICIP), 2014 Effective and efficient generation of keypoints from images is the first step of many computer vision applications, such as object matching. The last decade presented us with an arms race toward faster and more robust keypoint detection, feature description and matching.
Bo Li, Haibo Li 0001, Ulrik Söderström
openaire +3 more sources
Improving "bag-of-keypoints" image categorisation: Generative Models and PDF-Kernels [PDF]
, 2005 In this paper we propose two distinct enhancements to the basic ''bag-of-keypoints" image categorisation scheme proposed in [4]. In this approach images are represented as a variable sized set of local image features (keypoints).
Szedmak, S +3 more
core +6 more sources
All Keypoints You Need: Detecting Arbitrary Keypoints on the Body of Triple, High, and Long Jump Athletes [PDF]
, 2023 Performance analyses based on videos are commonly used by coaches of athletes in various sports disciplines. In individual sports, these analyses mainly comprise the body posture.
Ludwig, Katja +3 more
core +4 more sources
2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021 Accepted to ICCV ...
Zauss, Duncan +2 more
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Viewpoints and keypoints [PDF]
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015 We characterize the problem of pose estimation for rigid objects in terms of determining viewpoint to explain coarse pose and keypoint prediction to capture the finer details. We address both these tasks in two different settings - the constrained setting with known bounding boxes and the more challenging detection setting where the aim is to ...
Shubham Tulsiani, Jitendra Malik
openaire +4 more sources
IMPLEMENTING SKETCH-BASED IMAGE RETRIEVAL SYSTEM USING EDGE DETECTION AND SIFT ALGORITHM [PDF]
مجلة جامعة الانبار للعلوم الصرفة, 2019 Throughout the past few years, several researchers have introduced various methods and various algorithms for a precise and dependable sketch-based image retrieval system. In this paper, a proposed sketch-based image retrieval system is introduced.
AHMED SHIHAB AHMED
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Novel Spatio-Temporal Continuous Sign Language Recognition Using an Attentive Multi-Feature Network
Sensors, 2022 Given video streams, we aim to correctly detect unsegmented signs related to continuous sign language recognition (CSLR). Despite the increase in proposed deep learning methods in this area, most of them mainly focus on using only an RGB feature, either ...
Wisnu Aditya +6 more
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Geometric- and Optimization-Based Registration Methods for Long-Wave Infrared Hyperspectral Images
Remote Sensing, 2021 Registration of long-wave infrared (LWIR) hyperspectral images with their thermal and emissivity components has until now received comparatively less attention with respect to the visible near and short wave infrared hyperspectral images.
Alper Koz, Ufuk Efe
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A SELF-SUPERVISED KEYPOINT DETECTION NETWORK FOR MULTIMODAL REMOTE SENSING IMAGES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Currently, multimodal remote sensing images have complex geometric and radiometric distortions, which are beyond the reach of classical hand-crafted feature-based matching.
L. Li, L. Han, H. Cao, M. Liu
doaj +1 more source