Z. Zhang. Estimating motion and structure from correspondences of line segments between two perspective images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 17(12):pp. 1129--1139, June 1994.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....anyway. The research elds concerned with these issues are among others object tracking [25] feature or token tracking [3] 13] 27] 38] and optical ow or motion estimation [12] 19] Applications range from surveillance [20] 30] 36] motion analysis, and structure from motion [31] 32] 35] [37] to (multi )target tracking [11] 21] 24] Here, we restrict ourselves to the case that for some reason the objects have indeed an identical appearance, which leaves us with the positional information as sole feature for identi cation. Therefore, the objects are simply referred to as points in ....

Z. Zhang. Estimating motion and structure from correspondences of line segments between two perspective images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 17(12):1129{ 1139, 1995.

....I 1 UI 11ii IN 11KNAIIUNAL UNIiKiNL:i UN UNIFU ILK I;IUN ANU I AI 11KN IiL:UUN111UN, FlAWAll, USA, PP. 287 292, VOL. 1, DECEMBER 2001. The 3D Line Motion Matrix and Alignment of Line Reconstructions Adrien Bartoli Peter Sturm INRIA Rh6ne Alpes, 655, av. de l Europe 38334 St. Ismier cedex, France. first. last inria.fr Abstract We study the problem of aligning two 3D line reconstructions expressed in Plicker line ....

....vision, including tracking and motion segmentation, visual servoing and self calibration. Lines are widely used for tracking [5, 17] for visual servoing [1] or for pose estimation [8] and their reconstruction has been well studied (see e.g. 2] for image detection, 12] for matching and [13, 14, 15] for structure and motion) There are three intrinsic difficulties to motion estimation from 3D line correspondences, even in Euclidean space. Firstly, there is no global minimal parameterization for lines representing their 4 degrees of freedom by 4 global parameters. Secondly, there is no ....

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Z. Zhang. Estimating motion and structure from correspondences of line segments between two perspective images.

.... and to implement algorithms solving each sub task: object motion detection using image subtraction camera motion detection using motion vectors 2 Literature review Various approaches to motion detection exist in the literature, including epipolar plane analysis, the use of line segments [2], optical ow, thresholding for change detection, and many more. For the moving camera case, a recurrent approach is the use of motion vectors [3] which represent the displacement of the images of moving 3D points . They are formed by considering their tail at a given point in the image at the ....

Zhengyou Zhang, Estimating Motion and Structure from Correspondences of Line Segments Between Two Perspective Images, IEEE Transactions PAMI, 17(12):1129-1139, 1995

....cases, our linear algorithm requires 13 or more line correspondences to recover 27 coe#cients of the trifocal tensor. 1 Introduction The motion estimation problem using straight line correspondences has been investigated by many researchers in computer vision community for perspective cameras [10, 4, 5, 13, 12, 2, 14, 8] and for orthographic or a#ne cameras [3, 9, 1] However, there is a gap in these analysis since all of these approaches consider a fixed camera model, either perspective or orthographic. A general framework that works for a combination of camera models is needed. When recovering the structure of ....

Z. Zhang. Estimating motion and structure from correspondences of line segments between two perspective images. PAMI, 17(12):1129-- 1139, December 1995.

....matrix from two uncalibrated images. 1.3 Fundamental matrix estimation We assumed here that corresponding points have been extracted and matched using an Harris and Stephens detector associated with a cross correlation process. This first step is equivalent to the one developed by Zhang [17]. To take into account the nullity of the fundamental matrix determinant, we followed a method proposed by Boufama et al. based on the virtual parallax [4] This method may be briefly described as follow. The fundamental matrix is first estimated from 8 matches: three of them are selected to ....

....method ( d corresponds to (a, e to (b and (f to (c) Some reconstruction results obtained for a static scene shot by a moving commercial camera (fig. 4) are shown in figure 5. Two kind of reconstruction are presented here. The first one comes from the image matching software, developed by Zhang [17], which gives a list of matching points of interest that respect the epipolar geometry. These points are triangulated and re projected to obtain a 3D model. The examples presented in figure 5a 5b and 5c are constructed from 89 automatically extracted matching points. The synthesized views outline ....

Z. Zhang. Estimating motion and structure from correspondences of line segments between two perspective images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 17(12):1129--1139, 1995.

.... Consequently, our selfcalibration method can be viewed as an extention to solving the structure from motion problem, where only point or feature correspondences in a sequence of images (acquired using either a calibrated or non calibrated camera) have been considered previously, see e.g. [1, 2, 10, 14, 21, 23, 24]. The calibration result given by our algorithm evidently depends on the accuracy of the registration. On the other hand, an accurate calibration is important for the registration as systematic errors in the data may lead to a biased registration estimate. As studied in [13] the shape of the ....

Z. Zhang, "Estimating motion and structure from correspondences of line segments between two perspective images," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 17, No. 12, pp. 1129-1139, 1995.

....geometry, see [1, 2, 3] After recovery of epipolar geometry, epipolar constraint is available in matching process. Some researchers have used the epipolar constraint to match several primitives, e.g. points [4] straight lines [5, 6, 7] both points and straight lines [1] and line segments [8, 9]. A contour in an image is defined as a parameterized discrete curve sampled by an image grid. Contours are more general primitives than points or line segments and hence they contain more information about the image. A discrete contour is represented as a set of chained image points. Estimating ....

Z. Zhang, "Estimating motion and structure from correspondences of line segments between two perspective images," Tech. Rep. Research Report 2340, INRIA Sophia, 1994.

....3D motion estimation is being applied in various robotics and navigation tasks. Much research has been devoted to estimating 3D motion from optical flow fields (e.g. Adiv 85] as well as from discrete moving image features like corners or line segments (e.g. Huang 86; Broida et al. 90; Zhang 95] often coupled with structure from motion estimation, or using more than two frames (e.g. Shariat Price 90] The theoretical problems seem to be well understood, but robust implementation is difficult. The development of our tracking approach and the motion model has mainly been influenced ....

Z. Zhang, Estimating Motion and Structure from Correspondences of Line Segments between Two Perspective Images. IEEE Transactions on Pattern Analysis and Machine Intelligence 17:12, December 1995, pp. 1129--1139.

....min(ke 0 Gamma s 00 k; ke 00 Gamma s 0 k) 6) s 00 e 00 e 00 s 00 e 00 s 00 e 0 s 0 s 0 e 0 e 0 s 00 s 0 s 0 e 00 e 0 Fig. 7: Four con gurations of two line segments with overlap which corresponds to the gap between the two segments. The reader is referred to [24] for more details. The above overlap measure of a given pair of line segments is de ned in the second image. We have no reason for one image to prevail over another. In order for the two images to play a symmetric role, we can compute the overlap length in the rst image, denoted by L, exactly in ....

....stereo algorithm [2] uses the intersection strategy, that is, only the part of line segment which is perceived by all of the three cameras is reconstructed in space. 5 Experimental Results The proposed algorithm has been tested with both synthetic and real data. The reader is referred to [24] for the results with synthetic data. For comparison reason, we have also tried to apply a point based method [7] to the endpoints or midpoints of line segments, but the results are useless. For example, for the Modig scene described below (Figs. 8 12) the motion estimated when applying the ....

Z. Zhang. Estimating motion and structure from correspondences of line segments between two perspective images. Research Report 2340, INRIA Sophia, 1994.

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Z. Zhang. Estimating motion and structure from correspondences of line segments between two perspective images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 17(12):pp. 1129--1139, June 1994.

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Z. Zhang, "Estimating motion and structure from correspondences of line segments between two perspective images," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 17, pp. 1129--1139, December 1995.

No context found.

Z. Zhang. Estimating motion and structure from correspondences of line segments between two perspective images. IEEE Trans. Pattern Analysis and Machine Intell., 17(12):1129--1139, 1995.

No context found.

Z. Zhang, "Estimating motion and structure from correspondences of line segments between two perspective images," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 17, pp. 1129--1139, December 1995.

No context found.

Zhang, Z. (1995). Estimating motion and structure from correspondences of line segments between two perspective images. IEEE Trans. PAMI 17 (12), 1129--1139.

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