Results 11 to 20 of about 8,058,581 (353)
A Shape-Preserving Simplification Method for Urban Building Models
ISPRS International Journal of Geo-Information, 2022 With the expansion of model scale and the improvement of model accuracy, the real-time rendering and displaying of 3D mesh models remain infeasible.
Hanyu Xiang +6 more
doaj +1 more source
Vehicle Detection and Shape Refinement Based on LiDAR
Kongzhi Yu Xinxi Jishu, 2022 Nowadays, the vehicle detection technology based on lidar has been widely used in the field of intelligent connected vehicles. Accurate vehicle detection and shape estimation can provide accurate static information for follow-up tracking and prediction ...
YU An +7 more
doaj +3 more sources
Straight to Shapes: Real-Time Detection of Encoded Shapes [PDF]
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 Current object detection approaches predict bounding boxes, but these provide little instance-specific information beyond location, scale and aspect ratio. In this work, we propose to directly regress to objects' shapes in addition to their bounding boxes and categories.
Saumya Jetley +3 more
openaire +3 more sources
RANSAC for Robotic Applications: A Survey
Sensors, 2022 Random Sample Consensus, most commonly abbreviated as RANSAC, is a robust estimation method for the parameters of a model contaminated by a sizable percentage of outliers.
José María Martínez-Otzeta +3 more
doaj +1 more source
AutoShape: Real-Time Shape-Aware Monocular 3D Object Detection [PDF]
IEEE International Conference on Computer Vision, 2021 Existing deep learning-based approaches for monocular 3D object detection in autonomous driving often model the object as a rotated 3D cuboid while the object’s geometric shape has been ignored.
Zongdai Liu +4 more
semanticscholar +1 more source
Arbitrary Shape Text Detection via Boundary Transformer [PDF]
IEEE transactions on multimedia, 2022 In arbitrary shape text detection, locating accurate text boundaries is challenging and non-trivial. Existing methods often suffer from indirect text boundary modeling or complex post-processing.
Shi-Xue Zhang +3 more
semanticscholar +1 more source
Sensors, 2023 Impaired hand function is one of the most frequently persistent consequences of stroke. Throughout the rehabilitation process, physicians consistently monitor patients and perform kinematic evaluations in order to assess their overall progress in motor ...
Orestis N. Zestas, Nikolaos D. Tselikas
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Apple Shape Detection Based on Geometric and Radiometric Features Using a LiDAR Laser Scanner
Remote Sensing, 2020 Yield monitoring systems in fruit production mostly rely on color features, making the discrimination of fruits challenging due to varying light conditions. The implementation of geometric and radiometric features in three-dimensional space (3D) analysis
Nikos Tsoulias +3 more
semanticscholar +1 more source
Adaptive Boundary Proposal Network for Arbitrary Shape Text Detection [PDF]
IEEE International Conference on Computer Vision, 2021 Arbitrary shape text detection is a challenging task due to the high complexity and variety of scene texts. In this work, we propose a novel adaptive boundary proposal network for arbitrary shape text detection, which can learn to directly produce ...
Shi-Xue Zhang +4 more
semanticscholar +1 more source
Shape-Adaptive Selection and Measurement for Oriented Object Detection
AAAI Conference on Artificial Intelligence, 2022 The development of detection methods for oriented object detection remains a challenging task. A considerable obstacle is the wide variation in the shape (e.g., aspect ratio) of objects.
Liping Hou, Ke Lu, Jian Xue, Yuqiu Li
semanticscholar +1 more source