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49篇 您的检索式:作者名="Luc VAN GOOL"
    题名 作者 年代 出处 被引量
1利用颜色的非刚性物体跟踪方法(英文)显示文摘提出了一个利用颜色特征实时跟踪非刚性物体的方法 .首先 ,建立了一个颜色分布模型 ,该模型对部分遮挡具鲁棒性 ,对放缩和旋转具不变性 ,且计算简单 .对非刚体物体的实时鲁棒跟踪是一个非常有挑战性的课题 ,本文提出了利用颜色特征实时跟踪非刚体物体的方法 .首先 ,建立了一个颜色分布模型 ,该模型对部分遮挡具有鲁棒性 ,对放缩具有不变性 ,而且计算简单 .然后 ,采用粒子滤波的方法将颜色分布模型集成到一个动态状态估计的概率框架中 .为了处理光照变化等引起的外貌变化 ,进一步引入自适应模型更新过程 .同时 。Katja Nummiaro Esther Koller-Meier Luc Van Gool 2003自动化学报2003,29,3:15
2Speeded-Up Robust Features (SURF)显示文摘Herbert Bay Andreas Ess Tinne Tuytelaars Luc Van Gool 2007Computer Vision and Image Understanding2007,,3:14
3Video Polyp Segmentation: A Deep Learning Perspective显示文摘We present the first comprehensive video polyp segmentation(VPS)study in the deep learning era.Over the years,developments in VPS are not moving forward with ease due to the lack of a large-scale dataset with fine-grained segmentation annotations.To address this issue,we first introduce a high-quality frame-by-frame annotated VPS dataset,named SUN-SEG,which contains 158690colonoscopy video frames from the well-known SUN-database.We provide additional annotation covering diverse types,i.e.,attribute,object mask,boundary,scribble,and polygon.Second,we design a simple but efficient baseline,named PNS+,which consists of a global encoder,a local encoder,and normalized self-attention(NS)blocks.The global and local encoders receive an anchor frame and multiple successive frames to extract long-term and short-term spatial-temporal representations,which are then progressively refined by two NS blocks.Extensive experiments show that PNS+achieves the best performance and real-time inference speed(170 fps),making it a promising solution for the VPS task.Third,we extensively evaluate 13 representative polyp/object segmentation models on our SUN-SEG dataset and provide attribute-based comparisons.Finally,we discuss several open issues and suggest possible research directions for the VPS community.Our project and dataset are publicly available at http://gffzz188fe103f8f1460ascwpvuw5oc66x690f.ffgz.tsg.suse.edu.cn/GewelsJI/VPS.Ge-Peng Ji Guobao Xiao Yu-Cheng Chou Deng-Ping Fan Kai Zhao Geng Chen Luc Van Gool 2022Machine Intelligence Research2022,19,6:2
4Speeded-Up Robust Features (SURF)显示文摘Herbert Bay Andreas Ess Tinne Tuytelaars Luc Van Gool 2007Computer Vision and Image Understanding2007,,3:2
5Speeded-Up Robust Features (SURF)显示文摘Herbert Bay Andreas Ess Tinne Tuytelaars Luc Van Gool 2007Computer Vision and Image Understanding2007,,3:1
6SURF: Speeded Up Robust Features 显示文摘Herbert Bay Tinne Tuytelaars Luc Van Gool 2006Computer Science2006,3951,:1
7Matching widely separated views based on affine invariant regions显示文摘Tuytelaars T Luc Van Gool 2004International Journal on Computer Vision2004,59,1:1
8Surf: Speeded up robust features 显示文摘Herbert Bay Andreas Ess Tinne Tuytelaars and Luc Van Gool 2008Computer Vi- sion and Image Understanding ( CVIU)2008,110,3:1
9Moment invar-iants for recognition under changing viewpoint and illumination显示文摘Florica Mindru Tinne Tuytelaars Luc Van Gool 0,,:1
10An adaptive color-based particle filter 显示文摘Katja Nummiaro Esther Koller-Meier and Luc Van Gool 2003Image and Vision Computing2003,21,1:1
11Speeded-Up Robust Features (SURF)显示文摘Herbert Bay Andreas Ess Tinne Tuytelaars Luc Van Gool 2007Computer Vision and Image Understanding2007,,3:1
12Axa adaptive color--based particle filter 显示文摘Katja Nummiaro Esther Koller--Meier Luc Van Gool 2003Image and Vision Computing2003,21,:1
13An adaptive color-based particle filter 显示文摘Katja Nummiaroa Esther Koller-Meierb Luc Van Gool 2003Image and Vision Computing2003,134,21:1
14A stereo-vision system for support of planetary surface exploration显示文摘Maarten Vergauwen Marc Pollefeys Luc Van Gool 2003Machine Vision and Applications2003,14,1:1
15An adaptive color-based particle filter显示文摘Katja Nummiaro Esther Koller-Meier Luc Van Gool 2003Image and Vision Computing2003,21,1:1
16SURF:Speeded Up Robust Features显示文摘Herbert Bay Tinne Tuytelaars Luc Van Gool 0,,03:1
17Stratified Self-Calibration with the Modulus Constraint 显示文摘Marc POLLEFEYS Luc VAN GOOL 1999IEEE Transactions on Pattern Analysis and Machine Intelligence1999,21,8:1
18SURF: Speeded Up Robust Features 显示文摘Herbert Bay Andreas Ess Tinne Tuytelaars Luc Van Gool 2008Computer Vision and Image Understanding2008,110,3:1
19Visual Modeling with a Hand-Held Camera显示文摘Marc Pollefeys Luc Van Gool Maarten Vergauwen Frank Verbiest Kurt Cornelis Jan Tops Reinhard Koch 2004International Journal of Computer Vision2004,,3:1
20SURF:Speeded Up Robust Features显示文摘Bay Herbert Tuytelaars Tinne Gool Luc Van 2008Computer Vision and Image Understanding2008,110,3:1
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