micturition
发表于 2025-3-26 21:13:17
SVR-Based Jitter Reduction for Markerless Augmented Realityproposals required the scene to be endowed with special markers. Recently, thanks to the developments in the field of natural invariant local features, similar results have been achieved in a markerless scenario. The computer vision community is now equipped with a set of relatively standard techniq
engender
发表于 2025-3-27 03:24:27
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可以任性
发表于 2025-3-27 07:53:06
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袖章
发表于 2025-3-27 09:52:23
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detach
发表于 2025-3-27 16:02:00
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ESPY
发表于 2025-3-27 18:23:35
FESID: Finite Element Scale Invariant Detectorrd techniques. A more prominent issue in the field of image processing has become the use of interest point detectors and to this end we expand upon this research developing a finite element scale invariant interest point detector that is based on the same multi-scale approach used in the SURF detec
不来
发表于 2025-3-28 00:55:06
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衰弱的心
发表于 2025-3-28 04:45:12
Segmentation of Wood Fibres in 3D CT Images Using Graph Cutsg the micro mechanical properties of composite materials. This paper presents a filter that identifies and closes pores in wood fibre walls, simplifying the shape of the fibres. After this filter, a novel segmentation method based on graph cuts identifies individual fibres. The methods are validated
Maximize
发表于 2025-3-28 07:31:35
Semantic-Based Segmentation and Annotation of 3D Modelsniques for extracting and maintaining their embedded knowledge. These techniques should be encapsulated in portable and intelligent systems able to semantically annotate the 3D object models in order to improve their usability and indexing, especially in innovative web cooperative environments. Late
burnish
发表于 2025-3-28 14:01:08
Reducing Keypoint Database Sizeon algorithms, where the keypoints are then stored in a database used as the basis for comparing images or image features. Keypoints may be based on image features extracted by feature detection operators or on a dense grid of features. Both ways produce a large number of features per image, causing