Location:
Search - Comaniciu
Search list
Description: 使用颜色直方图特征的经典mean shift跟踪目标，文献Real-time tracking of non-rigid objects using mean shift,D Comaniciu, 2003
Platform: |
Size: 4620 |
Author: lhc_gucas |
Hits:
Description: 这是Dorin Comaniciu，Peter Meer的文献：Mean Shift Analysis and Applications-This is Dorin Comaniciu, Peter Meer literature: Mean Shift Analysis and Applications
Platform: |
Size: 263168 |
Author: 史晓萍 |
Hits:
Description: 基于均值漂移（mean shift)算法的图像分割程序，可用于图像特征提取，图像识别等。参考文献：Comaniciu(2002) Mean shift- a robust approach toward feature space analysis.pdf-image segment algorithm based on mean shift,
reference Comaniciu(2002) Mean shift- a robust approach toward feature space analysis.pdf
Platform: |
Size: 117760 |
Author: simondu |
Hits:
Description: Color Image Segmentation
This is the implementation of the algorithm described in
D. Comaniciu, P. Meer,
Robust Analysis of Feature Spaces: Color Image Segmentation,-Color Image Segmentation This is the implementation of the algorithm described in D. Comaniciu, P. Meer, Robust Analysis of Feature Spaces: Color Image Segmentation,
Platform: |
Size: 20480 |
Author: cui |
Hits:
Description: 《DragonEye Fast Object Tracking and
Camera Motion Estimation》DragonEye是一个基于目标直接浏览的视频播放系统。比Dimp和Dragon来说具有实时性-Recently, multiple research groups proposed the concept of direct manipulation,
which makes the task of navigation in videos directly related to content of the
video. However, the developed systems are still too slow for a broad application of
the technique. To increase the accessibility of direct manipulation a system has to
fulfill certain requirements:
• Computation times have to be so small that the system can work in situation
with time constraints.
• The system has to accommodate for the user’s greater comprehension of a
scene. This includes camera motion, fore- and background, and occlusions.
Based on the requirements, we developed and implemented the DRAGONEYE system.
The tracker employs point tracking, with points provided by SIFT [Lowe,
2004], and color tracking with the CAMShift algorithm [Comaniciu et al., 2003]. A
model of the tracked object is built and continuously updated to fit the current conditions.
This model allows the detection and recover
Platform: |
Size: 38917120 |
Author: 童癸 |
Hits:
Description: 根据D. Comaniciu, P. Meer: Mean Shift: A robust approach toward feature space analysis 以及
C. Christoudias, B. Georgescu, P. Meer: Synergism in low level vision.这两篇文献提供的方法编写的图像分割代码，作者是
Chris M. Christoudias, Bogdan Georgescu，代码经我看了后加了丰富的中文注释，希望可以给各位带来阅读上的方便。
基于meanshift的聚类分割方法包括滤波、区域融合等操作，通过调整sigma和sigmar来调整分割效果。-According to D. Comaniciu, P. Meer: Mean Shift: A robust approach toward feature space analysis, and C. Christoudias, B. Georgescu, P. Meer: Synergism in low level vision. These two documents prepared by the methods provided by image segmentation code , the author is Chris M. Christoudias, Bogdan Georgescu, after I read the code, add a rich Chinese notes, hoping to bring you the convenience of reading. Segmentation method based on clustering meanshift including filtering, regional integration and other operations, and by adjusting the sigma sigmar to adjust segmentation results.
Platform: |
Size: 5794816 |
Author: 松 |
Hits: