搜索资源列表
AAM
- 主动外表模型与主动形状模型，MATLAB平台下使用，内含DEMO-active appearance model
Qlearningcar
- Simulink 控制VR环境中的小车。小车有5个距离传感器，能够慢慢学会避开墙壁和障碍物。小车采用加强学习（Q learning），采用神经网络对Q函数逼近。由于使用了模拟退火，小车在开始的时候会经常撞击障碍物，10次后基本就不会再撞了。 小车的外观模型使用了"w198406141"在本论坛的虚拟现实区发布的VR模型。-VR environment Simulink control car. There are 5 car distance sensor, can gradually le
aam
- 一个用matlab实现的aam，实现的很标准，不过效率不高，占用资源比较多。-an implemention of the active appearance model,very standard, but the cost is too much.
cvpr12_xu_code
- 视觉追踪通过自适应构造局部视觉模型，追踪效果比较好-Visual Tracking via Adaptive Structural Local Appearance Model
icaam
- icaam, G. Papandreou and P. Maragos, Adaptive and Constrained Algorithms for Inverse Compositional Active Appearance Model Fitting, Proc. IEEE Int l Conf. on Computer Vision and Pattern Recognition (CVPR-2008), Anchorage, AL, June 2008.
IDCT_Tracker14
- 代码适用于追踪物体，可以很有效的图中进行精确的实时追踪(This code impelemts a method for tracking an object in a sequence of images given its location in the first frame. In this approach, a combination of generative and discriminative methods is used to model the object appear