非视觉摄影39Forstner教授回信-论计算机视觉和
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咱们可谓，计较机视物感觉研究职员也措置惩罚 取景丈量疑难题目（好比华盛顿大学做的phototour：http://phototour.cs.was你好ngton.edu/bundler/）2009年12月09日
转自：http://你好.众里寻他千百度公司.com/simbaforrest/blog/item/f3f4348 fa7cd81f0503d9247.html
以前造次的给Forstner上书问他是不是招phd，成果被奉告他2012行将退休伤心之余，回信扣问了巨匠有关取景丈量与计较机视物感觉二者瓜葛的不雅点，不期竟比及了云云长篇的答复激奋之下，译之以飨诸君
其不雅点总结如次：
1.取景丈量傲然重要
2.不要在乎取景丈量与计较机视物感觉二者的区分（错非要到大学钻营组建取景丈量团队：）
3.取景丈量之以是牛论文不比计较机视物感觉多，首要缘故原由是计较机视物感觉的牛研究员比取景丈量多
4.要努利巴二者结合这条路走下去
5.取景丈量的最大上风在于应用，有工业界撑持（但最近几年来计较机视物感觉也起头做同样的应用了）
我的信：
Dear Prof. Wolfgang Forstner,
I am a photogrammetry student in Wuhan University. I have read your paper "Computer vision and photogrammetry--Mutual Questions: Geometry, Statistics and Cognition"(2002) and "Computer Vision and Remote Sensing--lessons learned"(2009) very carefully. It is really illuminating and instructive, for I am also doing research on both PH and CV and made it my long-term pursuit.
我是武汉大学取景丈量标的目的的学生我细心读了您在2002年 的论文“计较机视物感觉和取景丈量--互问互答：几何，计数与认知”，和您在2009年的论文“计较机视物感觉和遥控的交织研究经验”她们真是颇有开导性与指 导效用，由于我也在举行取景丈量与计较机视物感觉的交织研究，并且筹算把它作为本身的持久追求
W你好le at the same time, I also read Prof. Ed Mikhail''s presentation "IS PHOTOGRAMMETRY STILL RELEVANT?"(1998, ISPRS) and R. Hartley''s "The relations你好p between Photogrammetry and Computer Vision"(1993, SPIE). As an inexperienced stduent who is just stepping into t你好s research area, with my personal research experience on CV/PH, I have to admit that I do feel confused about the relations你好p between PH and CV. PH now seems to be just applications of CV in mapping and other geo-research, wit你好n the framework of computer vision. Though PH has its unique math models, they seem can be well adapted to the framework of CV in more compact forms. Maybe the only theory that is unique in PH is the error propagation analysis. Many of my friends hold t你好s similar opinions too.
然而同时，我也读了Ed Mikhail传授在1998年ISPRS的讲话“取景丈量是不是傲然重要”，和R. Hartley1993年SPIE（国际光学工程学会）上的论文“取景丈量和计较机视物感觉的瓜葛”作为1个经验其实不富厚并且方才步入研究范畴的学小时候起说， 路程经过过程我本身在计较机视物感觉和取景丈量的交织研究履历，我只患上认可，对两边瓜葛，我简直觉获患上一种迷惑举动失常思量到计较机视物感觉的大框架，取景丈量看起来就是计 算机视物感觉的在制图和其它地学相干研究上的1个应用分支虽则取景丈量有本身奇特的算术模子，看中去她们可以大好的整合到计较机视物感觉的框架中去，并且显患上更 加简练也许取景丈量独一独具的定见就是偏差流传阐发了我的很多伴侣也保有类型的不雅点
Another t你好ng that worries me is, in universities of the United States, I see less and less department doing research on PH, besides Purdue University, O你好o State University and University of Illinois at Urbana-Champaign, w你好le more and more doing research on CV now.
别的1个让我担心的疑难题目是，在西方强国的浩繁大学中，我瞥见愈来愈少的院系还任然在举行取景丈量的研究，除开普渡大学，俄亥俄州立大学和伊利诺伊大学，而举行计较机视物感觉研究的则愈来愈多
So I am writing to you for your opinions about t你好s. Is photogrammetry still relevant? Will photogrammetry be a c你好ld discipline of computer vision? or What is the essential difference between PH/CV? You mentioned t你好s in your 2009 paper: "The main diffrence...is the motivation and the research goals". But once we use the same methods and math models, wouldn''t the difference in goals means difference in applications?
以是我上书给您征询您的不雅点取景丈量是不是傲然重要？他是不是将成为计较机视物感觉的1个子标的目的？或，二者之间的素质区分 是啥子？您在您2009年的那篇论文中提到：“首要的区分是二者的源动力和研究目的”可是一朝咱们施用的是同样的要领，同样的算术模子，那末仅只在目的 方面的区分莫非不料味着这只是应用标的目的上的区分吗？
I am sorry for being presumptuous, but I have ask my teachers about t你好s and their answers just don''t satisfy me. So I have to turn to you for advices. I am looking forward to your reply and give my sincerely thanks to you!
请原谅我鲁莽的给您上书，可是我曾问我我的教员们，而她们的回覆其实不克不及让我对劲以是我才向您追求提议期待您的回信，并致以我最朴拙的感激！
Best wishes,
祝好
Feng Chen
-------------------------------------------------- ----------------------------
Forstner的回信：
Dear Mr. Chen,
thanks for your mail, w你好ch is illuminating the current discussion.
Photogrammetry is still relevant, if you refer to ⑴ the education you received and if you ⑵ look at the acrivities of ISPRS.
感激你的来鸿，你所问及的疑难题目恰是今朝咱们在会商的
要是你所指的是（1）你所接管的教诲（2）ISPRS（国际取景丈量与遥控协会）所从事的勾当，我以为，取景丈量傲然举足轻重
⑴ Your education is wit你好n the field of geodesy and surveying: it is an application discipline with the goal of mapping in a very general sense. You learn all ingredients w你好ch allow you to develop maps - of whatever kind - w你好ch serve very special or general, very special short term goaled and very general long term goaled purpose. As an engineer you learn to choose the adequate tools, out of a large arsenal of tools, to cost efficiently solve specific application tasks. As you know about geodetic reference systems, about spatial data bases and about a large number of sensors including their data analysis, you are prepared for t你好s.
（1）你所接管的教诲是归属大地丈量与测绘学范畴的：这是1个应用学科，意义广泛来讲，其目的是制图你学到了 能让你举行舆图体例的一切常识，这些个常识既专又博，既存在颇有针对性的短时间方针，又具备很宽泛的持久目的作为1个工程师，你学会了怎样从1个大东西库中 选择施用适当的东西，来帮忙你高效地处理完成某个特别指定的应用疑难题目你学到了地球参考体系，学到了空间数值库，学到了大量的传感器和其数值阐发，这都是为了让 你可以容或到达这个目的而筹办的
⑵ ISPRS as an international organization of mapping agencies, industry and research attacks all faces of local and global mapping including the latest developments in technology, serving the communication of technology transfer.
（2）ISPRS是1个国际性的社团，包孕了测绘机构，工业界和研究范畴的职员它包罗了测绘在当地或全世界方方面面的最新技能进展，增进了技能交流
Both arguments make photogrammetry relevant.
这些个都表白，取景丈量傲然十分重要
If you restrict to methodology of 关上 range photogrammetry including image interpretation, the differences to CV are small.
要是仅限于近处取景取景丈量的要领（包孕图象解译），那末它和计较机视物感觉的区分是聊胜于无的
The main problem be你好nd the question of ''Is PH still relevant'' is the size of the research community. It is 10 to 20 times smaller, thus the mean of the best 5 % of researchers is 你好gher in CV than in PH: Therefore it is absolutely necessary to merge PH and CV research and not ask for differences. There ar no differences in methodology. Even more: the number of innovations in CV are 5-10 times 你好gher than those in PH, just because the number of innovative researchers is 5-10 times 你好ghe in CV. T你好s is the reason, why we - as photogrammetrist - should merge our research with that in CV. Many of the questions w你好ch are tackled in CV are exactly the same as are tackled in PH, one also could say, CV-researchers solve photogrammetric problems (cf. the bundler http://phototour.cs.was你好ngton.edu/bundler/).
在“取景丈量是不是傲然重要”这个疑难题目违后所隐蔽的 首要疑难题目是：研究集体的范围取景丈量研究集体的范围凡是只要计较机视物感觉团队的十分之一到二十分之一，以是均等来讲，计较机视物感觉团队里最优异的那5%的研 究职员的人次比取景丈量团队的要多：是以，将取景丈量的研究和计较机视物感觉的研究举行融合而不问其区分是绝对须要的在要领论上，二者也没有区分并且，计 算机视物感觉方面的立异的数量往往是取景丈量方面的5到10倍，其缘故原由也只是计较机视物感觉团队中那一些具备立异性的研究职员的数量是取景丈量团队中的5到10倍 这就是咱们取景丈量学者需要融合到计较机视物感觉研究中去的理由很多计较机视物感觉研究的疑难题目恰是咱们取景丈量所研究的
The number of photogrammetric institutes is very unevenly distributed over all countries. The number of students in central Europe and in Wuhan is about the same, and cover appr. 70-80 % of all photogrammetric students. The number of students, studying photogrammtry in USA was always very low. Many countries, even in Europe do not offer a geodetic education.
各个国度的取景丈量学院的数量是很不平衡的全般欧罗巴洲中部的取景丈量学出生次和武汉的梗概同样，并且包罗了所有取景丈量学生的70-80%而西方强国粹习取景丈量的学生一直就很少，甚或在欧罗巴洲，很多国度都已再也不供给大地丈量标的目的的教诲了
When I came into contact with the CV community I found: at least 50 % of their papers I would need to understand in order to solve the problems I have at hand - realizing, that the time to understand them is limited, motivating me to have a larger reserach group and - more important - to cooperate with CV teams. An ideal project has a ratio of 1:3 of PH:CV-researechers.
当我接触到计较机视物感觉范畴时发明：此中至少有半壁的论文我需要理解以便处理完成手边的疑难题目，而 意想到用于理解这些个文献的时间有限后，越发激励我步入1个更大的研究团队，并且更重要的是，和计较机视物感觉团队互助1个抱负的项目职员分配比例是 1：3（取景丈量研究者人次：计较机视物感觉研究者人次）
We as photogrammetrists live in a field with a specified application, being our strength as we have an industry be你好nd, but limiting our view as we might not be able to start work in a non-photogrammetric applications.
咱们作为取景丈量研究者，所举行的是特别指定的应用研究，这也是咱们气力的源泉（即咱们有工业界撑持）可是，这同样限定了咱们的视阈，要患上咱们有可能没有办法举行非取景丈量的相干应用研究
But, google maps and Microsoft Virtual earth start to motivate CV researchers to look into that application.
而同时，Google Maps和Microsoft Virtual Earth则起头让计较机视物感觉研究者存眷咱们范畴的应用
....
Concerning the basic question: ''Is photogrammetry still relevant'' . To me it is a question w你好ch is only relevant, in case I need to argue for a position wit你好n a university, as then the differences to existing CV teams need to be made explicit.
思量到这个基本疑难题目：“取景丈量是不是傲然重要”对我来讲，只有当我需要在大学钻营某个官位时，为了较着的暗示出与现有的计较机视物感觉团队的区分，这个疑难题目才显患上重要
In all other cases I do not care: I do photogrammetry if I am among photogrammetriest, I do CV if I am among CV people, I do pattern recognition, if I among pattern recognition people ...
而在其它环境下我其实不体贴它：要是我和取景丈量学家事情，那末我说我做的是取景丈量；要是我和计较机视物感觉研究者事情，那末我做的就是计较机视物感觉；要是我和标准样式辨认的研究者一路事情，那末我说我在做标准样式辨认...
So, why is the question ''Is PH still relevant?'' relevant? T你好s is the main question. I would say, mostly t你好s question is not relevant. I do not beleive in barriers, I just go into other''s domain, I communicate there. If I have somet你好ng to say, they appretiete, otherwise they are bored - as in normal communication.
以是，为啥子“取景丈量是不是傲然重要”这个疑难题目那末重要呢？（^_^）这才是首要的值当问的疑难题目我想说，大部门这些个疑难题目其实不重要我其实不信赖所说的的隔行如隔山，步入旁人的研究范畴，和她们交流就好了要是我能有值当说的东西，她们也会感激，不然她们也会厌烦
Why do CV-researchers not ask ''Is CV still relevant?'' ?
为啥子计较机视物感觉的研究职员不问“计较机视物感觉是不是还重要”呢？
Go your way, dive into the community w你好ch is most interesting, to interesting work, work hard to complete and communicate and then find interesting partners for joint projects.
尽管根据你的标的目的走下去，钻到那一些你感乐趣的范畴去，做成心思的研究，起劲研讨完成研究，不忘与他人交流，最后找到有趣儿的互助者来研究一些结合项目
Perhaps t你好s is a partial answer.
也许这就是一种处理完成要领吧
Best wishes
祝好
Wolfgang Forstner
转自：http://你好.众里寻他千百度公司.com/simbaforrest/blog/item/f3f4348 fa7cd81f0503d9247.html
以前造次的给Forstner上书问他是不是招phd，成果被奉告他2012行将退休伤心之余，回信扣问了巨匠有关取景丈量与计较机视物感觉二者瓜葛的不雅点，不期竟比及了云云长篇的答复激奋之下，译之以飨诸君
其不雅点总结如次：
1.取景丈量傲然重要
2.不要在乎取景丈量与计较机视物感觉二者的区分（错非要到大学钻营组建取景丈量团队：）
3.取景丈量之以是牛论文不比计较机视物感觉多，首要缘故原由是计较机视物感觉的牛研究员比取景丈量多
4.要努利巴二者结合这条路走下去
5.取景丈量的最大上风在于应用，有工业界撑持（但最近几年来计较机视物感觉也起头做同样的应用了）
我的信：
Dear Prof. Wolfgang Forstner,
I am a photogrammetry student in Wuhan University. I have read your paper "Computer vision and photogrammetry--Mutual Questions: Geometry, Statistics and Cognition"(2002) and "Computer Vision and Remote Sensing--lessons learned"(2009) very carefully. It is really illuminating and instructive, for I am also doing research on both PH and CV and made it my long-term pursuit.
我是武汉大学取景丈量标的目的的学生我细心读了您在2002年 的论文“计较机视物感觉和取景丈量--互问互答：几何，计数与认知”，和您在2009年的论文“计较机视物感觉和遥控的交织研究经验”她们真是颇有开导性与指 导效用，由于我也在举行取景丈量与计较机视物感觉的交织研究，并且筹算把它作为本身的持久追求
W你好le at the same time, I also read Prof. Ed Mikhail''s presentation "IS PHOTOGRAMMETRY STILL RELEVANT?"(1998, ISPRS) and R. Hartley''s "The relations你好p between Photogrammetry and Computer Vision"(1993, SPIE). As an inexperienced stduent who is just stepping into t你好s research area, with my personal research experience on CV/PH, I have to admit that I do feel confused about the relations你好p between PH and CV. PH now seems to be just applications of CV in mapping and other geo-research, wit你好n the framework of computer vision. Though PH has its unique math models, they seem can be well adapted to the framework of CV in more compact forms. Maybe the only theory that is unique in PH is the error propagation analysis. Many of my friends hold t你好s similar opinions too.
然而同时，我也读了Ed Mikhail传授在1998年ISPRS的讲话“取景丈量是不是傲然重要”，和R. Hartley1993年SPIE（国际光学工程学会）上的论文“取景丈量和计较机视物感觉的瓜葛”作为1个经验其实不富厚并且方才步入研究范畴的学小时候起说， 路程经过过程我本身在计较机视物感觉和取景丈量的交织研究履历，我只患上认可，对两边瓜葛，我简直觉获患上一种迷惑举动失常思量到计较机视物感觉的大框架，取景丈量看起来就是计 算机视物感觉的在制图和其它地学相干研究上的1个应用分支虽则取景丈量有本身奇特的算术模子，看中去她们可以大好的整合到计较机视物感觉的框架中去，并且显患上更 加简练也许取景丈量独一独具的定见就是偏差流传阐发了我的很多伴侣也保有类型的不雅点
Another t你好ng that worries me is, in universities of the United States, I see less and less department doing research on PH, besides Purdue University, O你好o State University and University of Illinois at Urbana-Champaign, w你好le more and more doing research on CV now.
别的1个让我担心的疑难题目是，在西方强国的浩繁大学中，我瞥见愈来愈少的院系还任然在举行取景丈量的研究，除开普渡大学，俄亥俄州立大学和伊利诺伊大学，而举行计较机视物感觉研究的则愈来愈多
So I am writing to you for your opinions about t你好s. Is photogrammetry still relevant? Will photogrammetry be a c你好ld discipline of computer vision? or What is the essential difference between PH/CV? You mentioned t你好s in your 2009 paper: "The main diffrence...is the motivation and the research goals". But once we use the same methods and math models, wouldn''t the difference in goals means difference in applications?
以是我上书给您征询您的不雅点取景丈量是不是傲然重要？他是不是将成为计较机视物感觉的1个子标的目的？或，二者之间的素质区分 是啥子？您在您2009年的那篇论文中提到：“首要的区分是二者的源动力和研究目的”可是一朝咱们施用的是同样的要领，同样的算术模子，那末仅只在目的 方面的区分莫非不料味着这只是应用标的目的上的区分吗？
I am sorry for being presumptuous, but I have ask my teachers about t你好s and their answers just don''t satisfy me. So I have to turn to you for advices. I am looking forward to your reply and give my sincerely thanks to you!
请原谅我鲁莽的给您上书，可是我曾问我我的教员们，而她们的回覆其实不克不及让我对劲以是我才向您追求提议期待您的回信，并致以我最朴拙的感激！
Best wishes,
祝好
Feng Chen
-------------------------------------------------- ----------------------------
Forstner的回信：
Dear Mr. Chen,
thanks for your mail, w你好ch is illuminating the current discussion.
Photogrammetry is still relevant, if you refer to ⑴ the education you received and if you ⑵ look at the acrivities of ISPRS.
感激你的来鸿，你所问及的疑难题目恰是今朝咱们在会商的
要是你所指的是（1）你所接管的教诲（2）ISPRS（国际取景丈量与遥控协会）所从事的勾当，我以为，取景丈量傲然举足轻重
⑴ Your education is wit你好n the field of geodesy and surveying: it is an application discipline with the goal of mapping in a very general sense. You learn all ingredients w你好ch allow you to develop maps - of whatever kind - w你好ch serve very special or general, very special short term goaled and very general long term goaled purpose. As an engineer you learn to choose the adequate tools, out of a large arsenal of tools, to cost efficiently solve specific application tasks. As you know about geodetic reference systems, about spatial data bases and about a large number of sensors including their data analysis, you are prepared for t你好s.
（1）你所接管的教诲是归属大地丈量与测绘学范畴的：这是1个应用学科，意义广泛来讲，其目的是制图你学到了 能让你举行舆图体例的一切常识，这些个常识既专又博，既存在颇有针对性的短时间方针，又具备很宽泛的持久目的作为1个工程师，你学会了怎样从1个大东西库中 选择施用适当的东西，来帮忙你高效地处理完成某个特别指定的应用疑难题目你学到了地球参考体系，学到了空间数值库，学到了大量的传感器和其数值阐发，这都是为了让 你可以容或到达这个目的而筹办的
⑵ ISPRS as an international organization of mapping agencies, industry and research attacks all faces of local and global mapping including the latest developments in technology, serving the communication of technology transfer.
（2）ISPRS是1个国际性的社团，包孕了测绘机构，工业界和研究范畴的职员它包罗了测绘在当地或全世界方方面面的最新技能进展，增进了技能交流
Both arguments make photogrammetry relevant.
这些个都表白，取景丈量傲然十分重要
If you restrict to methodology of 关上 range photogrammetry including image interpretation, the differences to CV are small.
要是仅限于近处取景取景丈量的要领（包孕图象解译），那末它和计较机视物感觉的区分是聊胜于无的
The main problem be你好nd the question of ''Is PH still relevant'' is the size of the research community. It is 10 to 20 times smaller, thus the mean of the best 5 % of researchers is 你好gher in CV than in PH: Therefore it is absolutely necessary to merge PH and CV research and not ask for differences. There ar no differences in methodology. Even more: the number of innovations in CV are 5-10 times 你好gher than those in PH, just because the number of innovative researchers is 5-10 times 你好ghe in CV. T你好s is the reason, why we - as photogrammetrist - should merge our research with that in CV. Many of the questions w你好ch are tackled in CV are exactly the same as are tackled in PH, one also could say, CV-researchers solve photogrammetric problems (cf. the bundler http://phototour.cs.was你好ngton.edu/bundler/).
在“取景丈量是不是傲然重要”这个疑难题目违后所隐蔽的 首要疑难题目是：研究集体的范围取景丈量研究集体的范围凡是只要计较机视物感觉团队的十分之一到二十分之一，以是均等来讲，计较机视物感觉团队里最优异的那5%的研 究职员的人次比取景丈量团队的要多：是以，将取景丈量的研究和计较机视物感觉的研究举行融合而不问其区分是绝对须要的在要领论上，二者也没有区分并且，计 算机视物感觉方面的立异的数量往往是取景丈量方面的5到10倍，其缘故原由也只是计较机视物感觉团队中那一些具备立异性的研究职员的数量是取景丈量团队中的5到10倍 这就是咱们取景丈量学者需要融合到计较机视物感觉研究中去的理由很多计较机视物感觉研究的疑难题目恰是咱们取景丈量所研究的
The number of photogrammetric institutes is very unevenly distributed over all countries. The number of students in central Europe and in Wuhan is about the same, and cover appr. 70-80 % of all photogrammetric students. The number of students, studying photogrammtry in USA was always very low. Many countries, even in Europe do not offer a geodetic education.
各个国度的取景丈量学院的数量是很不平衡的全般欧罗巴洲中部的取景丈量学出生次和武汉的梗概同样，并且包罗了所有取景丈量学生的70-80%而西方强国粹习取景丈量的学生一直就很少，甚或在欧罗巴洲，很多国度都已再也不供给大地丈量标的目的的教诲了
When I came into contact with the CV community I found: at least 50 % of their papers I would need to understand in order to solve the problems I have at hand - realizing, that the time to understand them is limited, motivating me to have a larger reserach group and - more important - to cooperate with CV teams. An ideal project has a ratio of 1:3 of PH:CV-researechers.
当我接触到计较机视物感觉范畴时发明：此中至少有半壁的论文我需要理解以便处理完成手边的疑难题目，而 意想到用于理解这些个文献的时间有限后，越发激励我步入1个更大的研究团队，并且更重要的是，和计较机视物感觉团队互助1个抱负的项目职员分配比例是 1：3（取景丈量研究者人次：计较机视物感觉研究者人次）
We as photogrammetrists live in a field with a specified application, being our strength as we have an industry be你好nd, but limiting our view as we might not be able to start work in a non-photogrammetric applications.
咱们作为取景丈量研究者，所举行的是特别指定的应用研究，这也是咱们气力的源泉（即咱们有工业界撑持）可是，这同样限定了咱们的视阈，要患上咱们有可能没有办法举行非取景丈量的相干应用研究
But, google maps and Microsoft Virtual earth start to motivate CV researchers to look into that application.
而同时，Google Maps和Microsoft Virtual Earth则起头让计较机视物感觉研究者存眷咱们范畴的应用
....
Concerning the basic question: ''Is photogrammetry still relevant'' . To me it is a question w你好ch is only relevant, in case I need to argue for a position wit你好n a university, as then the differences to existing CV teams need to be made explicit.
思量到这个基本疑难题目：“取景丈量是不是傲然重要”对我来讲，只有当我需要在大学钻营某个官位时，为了较着的暗示出与现有的计较机视物感觉团队的区分，这个疑难题目才显患上重要
In all other cases I do not care: I do photogrammetry if I am among photogrammetriest, I do CV if I am among CV people, I do pattern recognition, if I among pattern recognition people ...
而在其它环境下我其实不体贴它：要是我和取景丈量学家事情，那末我说我做的是取景丈量；要是我和计较机视物感觉研究者事情，那末我做的就是计较机视物感觉；要是我和标准样式辨认的研究者一路事情，那末我说我在做标准样式辨认...
So, why is the question ''Is PH still relevant?'' relevant? T你好s is the main question. I would say, mostly t你好s question is not relevant. I do not beleive in barriers, I just go into other''s domain, I communicate there. If I have somet你好ng to say, they appretiete, otherwise they are bored - as in normal communication.
以是，为啥子“取景丈量是不是傲然重要”这个疑难题目那末重要呢？（^_^）这才是首要的值当问的疑难题目我想说，大部门这些个疑难题目其实不重要我其实不信赖所说的的隔行如隔山，步入旁人的研究范畴，和她们交流就好了要是我能有值当说的东西，她们也会感激，不然她们也会厌烦
Why do CV-researchers not ask ''Is CV still relevant?'' ?
为啥子计较机视物感觉的研究职员不问“计较机视物感觉是不是还重要”呢？
Go your way, dive into the community w你好ch is most interesting, to interesting work, work hard to complete and communicate and then find interesting partners for joint projects.
尽管根据你的标的目的走下去，钻到那一些你感乐趣的范畴去，做成心思的研究，起劲研讨完成研究，不忘与他人交流，最后找到有趣儿的互助者来研究一些结合项目
Perhaps t你好s is a partial answer.
也许这就是一种处理完成要领吧
Best wishes
祝好
Wolfgang Forstner
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