Results 11 to 20 of about 5,057,517 (289)
Fast Registration of Point Cloud Based on Custom Semantic Extraction
With the increase in the amount of 3D point cloud data and the wide application of point cloud registration in various fields, the question of whether it is possible to quickly extract the key points of registration and perform accurate coarse ...
Jianing Wu +5 more
doaj +1 more source
Learning to Detect Local Features Using Information Change
In this paper we propose that features extracted from deep convolutional neural networks have the structure and information necessary to detect location and scale of the local keypoints.
Yongju Cho +6 more
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Document image analysis and recognition: a survey
This paper analyzes the problems of document image recognition and the existing solutions. Document recognition algorithms have been studied for quite a long time, but despite this, currently, the topic is relevant and research continues, as evidenced by
V.V. Arlazarov +6 more
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Mutation Based Feature Localization [PDF]
The complexity of modern chip designs is rapidly increasing. More and more blocks from old designs are reused and third party IP is licensed to fulfill strict time-to-market constraints. Often, poor documentation of such blocks makes improvements and extensions of the blocks a difficult time consuming task.
Malburg, Jan +2 more
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Visible Infrared Person Re-Identification via Global-Level and Local-Level Constraints
Visible infrared person re-identification (VI-ReID) is an extremely challenging task. VI-ReID suffers from two challenges. One is the cross-modality discrepancy due to different camera spectrums, the other is the intra-modality variation caused by the ...
Tianqi Zhang +4 more
doaj +1 more source
Fingerprint Feature Extraction for Indoor Localization [PDF]
This paper proposes a fingerprint-based indoor localization method, named FPFE (fingerprint feature extraction), to locate a target device (TD) whose location is unknown. Bluetooth low energy (BLE) beacon nodes (BNs) are deployed in the localization area to emit beacon packets periodically.
Jehn-Ruey Jiang +2 more
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Coloring Local Feature Extraction [PDF]
Although color is commonly experienced as an indispensable quality in describing the world around us, state-of-the art local feature-based representations are mostly based on shape description, and ignore color information. The description of color is hampered by the large amount of variations which causes the measured color values to vary ...
van de Weijer, Joost, Schmid, Cordelia
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Fitting 3D Morphable Models using Local Features [PDF]
In this paper, we propose a novel fitting method that uses local image features to fit a 3D Morphable Model to 2D images. To overcome the obstacle of optimising a cost function that contains a non-differentiable feature extraction operator, we use a ...
Christmas, William +4 more
core +2 more sources
Goodpoint: unsupervised learning of key point detection and description [PDF]
Subject of Research. The paper presents the study of algorithms for key point detection and description, widely used in computer vision. Typically, the corner detector acts as a key point detector, including neural key point detectors.
Anatoly V. Belikov +2 more
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Feature localization and identification
Theories on visual search differ substantially with respect to the relationship they assume between localization and identification processes. The aim of the present study was to rigorously compare the alternative theoretical notions on how localization and identification processes are related.
Donk, M., Meinecke, C.
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