在u vision下對51單片機編程，實現(xiàn)的一個電子鐘的例程
上傳時間： 2014-01-27
上傳用戶：lht618
"The GRAPHICS GEMS Series" was started in 1990 by Andrew Glassner. The vision and purpose of the Series was - and still is - to provide tips, techniques, and algorithms for graphics programmers. All of the gems are written by programmers who work in the field and are motivated by a common desire to share interesting ideas and tools with their colleagues. Each volume provides a new set of innovative solutions to a variety of programming problems.
標簽： The GRAPHICS Glassner started
上傳時間： 2016-12-18
上傳用戶：firstbyte
A vision based navigation system for autonomous aircraft.pdf
標簽： autonomous navigation aircraft vision
上傳時間： 2016-12-22
上傳用戶：jackgao
各功能描述: 1. 當A為低電平時,AC-3燈點亮,即是AC-3的輸入方式 當A為高電平時,STEREO燈點亮,即是STEREO的輸入方式 2. 當STANDBY燈點亮時，為待機狀態(tài)；此LED閃動時為MUTE狀態(tài),PT2258為靜音狀態(tài),同時STANDBY為低電平 3. 各聲道（FRONT，SUB，REAR，CENT）其微調(diào)音量調(diào)節(jié)+/-5dB；音量調(diào)節(jié)從01~80dB 4. 面板無任何按鍵,均為遙控器控制 5. 剛開機時為待機狀態(tài)，開機時音量為50dB狀態(tài),各微調(diào)為0dB, 6. 按遙控器的REST鍵后,系統(tǒng)為開機時狀態(tài)， 7. PT2258音量衰減共80DB,按遙控器每按一次衰減1dB,
上傳時間： 2016-12-30
上傳用戶：VRMMO
《Learning OpenCV---Computer vision with the OpenCV library》Gary Bradski & Adrian Kaebler最新權(quán)威OpenCV專著，OpenCV必備寶典
標簽： OpenCV Learning Computer Bradski
上傳時間： 2017-01-01
上傳用戶：dancnc
Vision by Man and Machine
上傳時間： 2017-02-05
上傳用戶：13517191407
machine learning in computer vision 計算機視覺中的機器學習 外文經(jīng)典計算機視覺教程
標簽： learning computer machine vision
上傳時間： 2017-02-07
上傳用戶：huyiming139
多媒體5.1聲道遙控功放全套方案(原理圖+制作元件參數(shù)全套)各功能描述: 1. 當A為低電平時,AC-3燈點亮,即是AC-3的輸入方式 當A為高電平時,STEREO燈點亮,即是STEREO的輸入方式 2. 當STANDBY燈點亮時，為待機狀態(tài)；此LED閃動時為MUTE狀態(tài),PT2258為靜音狀態(tài),同時STANDBY為低電平 3. 各聲道（FRONT，SUB，REAR，CENT）其微調(diào)音量調(diào)節(jié)+/-5dB；音量調(diào)節(jié)從01~80dB 4. 面板無任何按鍵,均為遙控器控制 5. 剛開機時為待機狀態(tài)，開機時音量為50dB狀態(tài),各微調(diào)為0dB, 6. 按遙控器的REST鍵后,系統(tǒng)為開機時狀態(tài)， 7. PT2258音量衰減共80DB,按遙控器每按一次衰減1dB,
上傳時間： 2017-02-21
上傳用戶：黃華強
In computer vision, sets of data acquired by sampling the same scene or object at different times, or from different perspectives, will be in different coordinate systems. Image registration is the process of transforming the different sets of data into one coordinate system. Registration is necessary in order to be able to compare or integrate the data obtained from different measurements. Image registration is the process of transforming the different sets of data into one coordinate system. To be precise it involves finding transformations that relate spatial information conveyed in one image to that in another or in physical space. Image registration is performed on a series of at least two images, where one of these images is the reference image to which all the others will be registered. The other images are referred to as target images.
標簽： different computer acquired sampling
上傳時間： 2013-12-28
上傳用戶：來茴
Recovering 3-D structure from motion in noisy 2-D images is a problem addressed by many vision system researchers. By consistently tracking feature points of interest across multiple images using a methodology first described by Lucas-Kanade, a 3-D shape of the scene can be reconstructed using these features points using the factorization method developed by Tomasi-Kanade.
標簽： Recovering structure addressed problem
上傳時間： 2017-04-17
上傳用戶：xiaoxiang
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