constitutional
发表于 2025-3-30 10:08:47
Gradient Vector Flow over Manifold for Active Contourshetic and real images; experimental results show that the GVFOM snake behaves similarly to the GVF snake in terms of capture range enlarging, initialization insensitivity, while provides much better results than GVF snake for weak edge preserving, objects separation, narrow and deep concavity convergence.
grounded
发表于 2025-3-30 13:28:14
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Panacea
发表于 2025-3-30 19:46:36
Towards Robust Object Detection: Integrated Background Modeling Based on Spatio-temporal Featuresage brightness and estimates a present background image from input image referring to a background model image. Then, objects are extracted by background subtraction. Fusing their approaches realizes robust object detection under varying illumination, which is shown in several experiments.
咆哮
发表于 2025-3-30 22:06:41
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Tempor
发表于 2025-3-31 01:13:46
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pantomime
发表于 2025-3-31 08:05:05
The Determinants of Economic Growthhe manifolds from different faces are separated from each other by their dissimilarities. The new manifold estimation is formulated as an energy minimization problem with smoothness constraints. The experiments show that face images under different poses can be robustly synthesized from one input image, even with large pose variations.
思想灵活
发表于 2025-3-31 13:10:24
Manifold Estimation in View-Based Feature Space for Face Synthesis across Poseshe manifolds from different faces are separated from each other by their dissimilarities. The new manifold estimation is formulated as an energy minimization problem with smoothness constraints. The experiments show that face images under different poses can be robustly synthesized from one input image, even with large pose variations.
悠然
发表于 2025-3-31 16:14:23
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颠簸地移动
发表于 2025-3-31 19:29:37
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山顶可休息
发表于 2025-4-1 01:43:25
0302-9743 e Area Chairs made summaryreportsforthepapersintheirpools,basedonthereviewers’comments and on their own assessments of the papers.978-3-642-12306-1978-3-642-12307-8Series ISSN 0302-9743 Series E-ISSN 1611-3349