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
教材《Pattern Classification and scene Classification》，可用于模式識別和計算機課程。
標簽： Classification Pattern scene and
上傳時間： 2014-01-01
上傳用戶：星仔
matlab tracking source code to track a moving object on the scene by using centroid and rectangle method
標簽： rectangle centroid tracking matlab
上傳時間： 2013-12-11
上傳用戶：www240697738
This text surrounds the development of the electric power SCADA system exactly, aiming at the present condition of the our country electric power charged barbed wire net currently, according to the oneself at the e- lectric power protect the profession after the electricity in seven years of development, design and adjust to try the experience on the scene from following severals carry on the treatise:Is the emergence to the system of SC- ADA and developments to introduce first Carry on the introduction elucidation to applied present condition and the development foregrounds of various terminal equipments communication agreement(rules invite) the next in order Then is the elucidation to the windows the bottom according to the mfc the plait distance environment an- d VC++6.0 plait distance softwares Carry on the more detailed treatise to the realization of the procedure struct- ure frame and the source code again End is the applied case example give examples.
標簽： the development surrounds electric
上傳時間： 2014-10-28
上傳用戶：liuchee
Robustnesstochangesinilluminationconditionsaswellas viewing perspectives is an important requirement formany computer vision applications. One of the key fac-ors in enhancing the robustness of dynamic scene analy-sis that of accurate and reliable means for shadow de-ection. Shadowdetectioniscriticalforcorrectobjectde-ection in image sequences. Many algorithms have beenproposed in the literature that deal with shadows. How-ever,acomparativeevaluationoftheexistingapproachesisstill lacking. In this paper, the full range of problems un-derlyingtheshadowdetectionareidenti?edanddiscussed.Weclassifytheproposedsolutionstothisproblemusingaaxonomyoffourmainclasses, calleddeterministicmodeland non-model based and statistical parametric and non-parametric. Novelquantitative(detectionanddiscrimina-ionaccuracy)andqualitativemetrics(sceneandobjectin-dependence,?exibilitytoshadowsituationsandrobustnesso noise) are proposed to evaluate these classes of algo-rithms on a benchmark suite of indoor and outdoor videosequences.
標簽： Robustnesstochangesinillumination conditionsaswellas perspectives requirement
上傳時間： 2014-01-23
上傳用戶：whenfly
The problem of image registration subsumes a number of problems and techniques in multiframe image analysis, including the computation of optic flow (general pixel-based motion), stereo correspondence, structure from motion, and feature tracking. We present a new registration algorithm based on spline representations of the displacement field which can be specialized to solve all of the above mentioned problems. In particular, we show how to compute local flow, global (parametric) flow, rigid flow resulting from camera egomotion, and multiframe versions of the above problems. Using a spline-based description of the flow removes the need for overlapping correlation windows, and produces an explicit measure of the correlation between adjacent flow estimates. We demonstrate our algorithm on multiframe image registration and the recovery of 3D projective scene geometry. We also provide results on a number of standard motion sequences.
標簽： image registration multiframe techniques
上傳時間： 2016-01-20
上傳用戶：520
Under the labor sentiment monitor system has several parts of compositions: The mobile termination software and hardware development, the central server software development as well as opens video frequency the prompt reflection. The labor sentiment monitor end is responsible for the data and the scene picture which
標簽： compositions termination sentiment monitor
上傳時間： 2014-11-29
上傳用戶：aig85
This a cube of power of 3D Graphics. Very simple OpenGL example that shows how to create Your s first 3D scene
標簽： Graphics example OpenGL create
上傳時間： 2017-02-07
上傳用戶：爺的氣質
This sample is a simple example on how to perform a glow effect by rendering into an arbitrary size Frame Buffer Object (FBO). The Glow effect is performed on a specific part of the screen and can be done only on specific objects of the scene. You can imagine using such a postprocessing effect in CAD/DCC to emphasize some items from a selection or picking for example.
標簽： arbitrary rendering example perform
上傳時間： 2014-01-03
上傳用戶：liuchee
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
