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ssd-5-mcq-cer
- mcq certification ssd5
Demo
- 枚举桌面所有顶层窗口,真的可以用OK枚举桌面所有顶层窗口,真的可以用OK-ok sdoek ssd tere
vgb
- answers to question six week SSD
SSD-2_FINAL_EXAMS
- this ssd2 certificaition final exam multiple choice quizzes, practical documents, and another files includes matlab, ssd1 exams and so on-this is ssd2 certificaition final exam multiple choice quizzes, practical documents, and another files includes
Exercise-7
- this is an exercise 7 of ssd 10 of program of iCarnegie University
exercise5_handout.rar
- ssd 6 exercise 5 answer full,ssd 6 exercise 5 answer full
PQ1.zip
- practical quiz ssd 6 answer,practical quiz ssd 6 answer
MCQ-1-12.zip
- ssd 2 multiple choice 1-12 answers,ssd 2 multiple choice 1-12 answers
ex1
- exercise1 for SSD-5...SQL scr ipt given to you
exam2SDd7
- This my source code for the Exam 2 (Practical and Multiple )from Icarnegie SSD 7.-This is my source code for the Exam 2 (Practical and Multiple )from Icarnegie SSD 7.
indexes
- Exercise 10 from SSD 7 course
fifo
- SSD optional 3 IS VERY USEFUL FOR ALL STUDENTS BLA BLA BLA
SkillBuilder_A
- Skill builderA ssd 7
CV4
- 立体视觉相关的程序,这部分需要先了解图像和摄像机之间的对立关系,并对极线几何比较了解,先把原理熟悉了以后,具体到编程上就会轻松一点,整体还是比较耗时的。具体来说,程序使用SSD得到匹配点,然后根据匹配点计算出基本矩阵,最后计算出匹配点相关的极线-Stereo vision procedure, this part of the need to understand the antagonistic relationship between the image and the camera, an
CV6
- 利用KLT跟踪算法进行兴趣点选取和跟踪。 KLT跟踪算法的原始思想是在研究不同图像之间的匹配问题时,通过计算两个平移窗口的灰度残差,并寻找最小化残差SSD(sum of square difference)来实现匹配的。但是这个过程是没有效率的,因此KLT算法进行了优化。在这个过程中,KLT算法使用泰勒展开直接计算平移矢量,而不需要通过遍历进行搜索。 -KLT tracking algorithm to select a point of interest and tracking. K
template_matching
- SSD和NCC图像匹配算法,程序运算速度快,匹配精度高-SSD and the NCC image matching algorithm, the program operation speed, high precision match
Lecture_20
- SSD 5 lecture for you and your friends
Unlock_and_converter_MMC_Image_S7
- Step 7 PLCs. You can Read,unlock and write ssd Card memory. Enjoy!
cpld_camera300
- 用verilog语言开发的OV2640图像转换代码,使得能与SSD显示器兼容。-With verilog language development OV2640 image conversion code, makes it possible to monitor compatible with the SSD.
SSD_monG
- Stereo matching using SSD (Sum of Squared Differences)