opengv
所属分类：图形图像处理
开发工具：C/C++
文件大小：2508KB
下载次数：6
上传日期：2016-04-27 18:17:08
上 传 者：
lqh604
说明： OpenGV库，一个通用的实时标定几何视觉库
(OpenGV， A Unified and Generalized Approach to Real-Time Calibrated Geometric Vision)
文件列表:
.travis.yml (322, 2016-03-24)
CMakeLists.txt (14355, 2016-03-24)
Doxyfile (75739, 2016-03-24)
License.txt (2321, 2016-03-24)
Makefile.ros (41, 2016-03-24)
cmake (0, 2016-03-24)
cmake\CXX11.cmake (1315, 2016-03-24)
cmake\CheckCXXCompilerFlag.cmake (2134, 2016-03-24)
doc (0, 2016-03-24)
doc\addons (0, 2016-03-24)
doc\addons\01_installation.dox (8686, 2016-03-24)
doc\addons\02_how_to_use.dox (32115, 2016-03-24)
doc\addons\03_matlab.dox (8145, 2016-03-24)
doc\addons\04_how_to_contribute.dox (5868, 2016-03-24)
doc\addons\05_contact.dox (142, 2016-03-24)
doc\addons\06_references.dox (3794, 2016-03-24)
doc\addons\images (0, 2016-03-24)
doc\addons\images\absolute_central.dia (2864, 2016-03-24)
doc\addons\images\absolute_central.eps (27866, 2016-03-24)
doc\addons\images\absolute_central.pdf (14575, 2016-03-24)
doc\addons\images\absolute_central.png (38290, 2016-03-24)
doc\addons\images\absolute_noncentral.dia (4620, 2016-03-24)
doc\addons\images\absolute_noncentral.eps (44177, 2016-03-24)
doc\addons\images\absolute_noncentral.pdf (23110, 2016-03-24)
doc\addons\images\absolute_noncentral.png (50925, 2016-03-24)
doc\addons\images\central.dia (1340, 2016-03-24)
doc\addons\images\central.eps (7939, 2016-03-24)
doc\addons\images\central.pdf (3781, 2016-03-24)
doc\addons\images\central.png (8115, 2016-03-24)
doc\addons\images\multi_viewpoint.dia (3679, 2016-03-24)
doc\addons\images\multi_viewpoint.eps (25484, 2016-03-24)
doc\addons\images\multi_viewpoint.pdf (10902, 2016-03-24)
doc\addons\images\multi_viewpoint.png (41109, 2016-03-24)
doc\addons\images\noncentral.dia (2800, 2016-03-24)
doc\addons\images\noncentral.eps (20096, 2016-03-24)
doc\addons\images\noncentral.pdf (7915, 2016-03-24)
doc\addons\images\noncentral.png (36534, 2016-03-24)
... ...
library: OpenGV
pages: http://laurentkneip.github.io/opengv
brief: OpenGV is a collection of computer vision methods for solving
geometric vision problems. It contains absolute-pose, relative-pose,
triangulation, and point-cloud alignment methods for the calibrated
case. All problems can be solved with central or non-central cameras,
and embedded into a random sample consensus or nonlinear optimization
context. Please consult the documentation for more information.
author: Laurent Kneip, The Australian National University
contact: kneip.laurent@gmail.com
近期下载者：
相关文件：
收藏者：