@article {12478,
	title = {Video Metrology Using a Single Camera},
	journal = {Pattern Analysis and Machine Intelligence, IEEE Transactions on},
	volume = {32},
	year = {2010},
	month = {2010/07//},
	pages = {1329 - 1335},
	abstract = {This paper presents a video metrology approach using an uncalibrated single camera that is either stationary or in planar motion. Although theoretically simple, measuring the length of even a line segment in a given video is often a difficult problem. Most existing techniques for this task are extensions of single image-based techniques and do not achieve the desired accuracy especially in noisy environments. In contrast, the proposed algorithm moves line segments on the reference plane to share a common endpoint using the vanishing line information followed by fitting multiple concentric circles on the image plane. A fully automated real-time system based on this algorithm has been developed to measure vehicle wheelbases using an uncalibrated stationary camera. The system estimates the vanishing line using invariant lengths on the reference plane from multiple frames rather than the given parallel lines, which may not exist in videos. It is further extended to a camera undergoing a planar motion by automatically selecting frames with similar vanishing lines from the video. Experimental results show that the measurement results are accurate enough to classify moving vehicles based on their size.},
	keywords = {camera;vanishing, circles;uncalibrated, concentric, image-based, information;vehicle, line, measurement;video, metrology;cameras;image, processing;, segment;multiple, segmentation;video, signal, single, techniques;line, wheelbase},
	isbn = {0162-8828},
	doi = {10.1109/TPAMI.2010.26},
	author = {Guo,Feng and Chellapa, Rama}
}
@conference {16896,
	title = {Simultaneous pose and correspondence determination using line features},
	booktitle = {Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 IEEE Computer Society Conference on},
	volume = {2},
	year = {2003},
	month = {2003/06//},
	pages = {II-424 - II-431 vol.2 - II-424 - II-431 vol.2},
	abstract = {We present a new robust line matching algorithm for solving the model-to-image registration problem. Given a model consisting of 3D lines and a cluttered perspective image of this model, the algorithm simultaneously estimates the pose of the model and the correspondences of model lines to image lines. The algorithm combines softassign for determining correspondences and POSIT for determining pose. Integrating these algorithms into a deterministic annealing procedure allows the correspondence and pose to evolve from initially uncertain values to a joint local optimum. This research extends to line features the SoftPOSIT algorithm proposed recently for point features. Lines detected in images are typically more stable than points and are less likely to be produced by clutter and noise, especially in man-made environments. Experiments on synthetic and real imagery with high levels of clutter, occlusion, and noise demonstrate the robustness of the algorithm.},
	keywords = {algorithm;, algorithms;, annealing;, clutter;, cluttered, Computer, correspondence, detection;, determination;, deterministic, environment;, extraction;, feature, feature;, image, image;, imagery;, images;, joint, line, local, man-made, MATCHING, matching;, measurement;, model-to-image, noise;, occlusion;, optimum;, perspective, point, pose, position, problem;, processing;, real, realistic, registration, simulated, softassign;, SoftPOSIT, stereo, synthetic, vision;},
	doi = {10.1109/CVPR.2003.1211499},
	author = {David,P. and DeMenthon,D. and Duraiswami, Ramani and Samet, Hanan}
}
@article {14958,
	title = {Efficient image processing algorithms on the scan line array processor},
	journal = {Pattern Analysis and Machine Intelligence, IEEE Transactions on},
	volume = {17},
	year = {1995},
	month = {1995/01//},
	pages = {47 - 56},
	abstract = {Develops efficient algorithms for low and intermediate level image processing on the scan line array processor, a SIMD machine consisting of a linear array of cells that processes images in a scan line fashion. For low level processing, the authors present algorithms for block DFT, block DCT, convolution, template matching, shrinking, and expanding which run in real-time. By real-time, the authors mean that, if the required processing is based on neighborhoods of size m times;m, then the output lines are generated at a rate of O(m) operations per line and a latency of O(m) scan lines, which is the best that can be achieved on this model. The authors also develop an algorithm for median filtering which runs in almost real-time at a cost of O(m log m) time per scan line and a latency of [m/2] scan lines. For intermediate level processing, the authors present optimal algorithms for translation, histogram computation, scaling, and rotation. The authors also develop efficient algorithms for labelling the connected components and determining the convex hulls of multiple figures which run in O(n log n) and O(n log<sup>2</sup>n) time, respectively. The latter algorithms are significantly simpler and easier to implement than those already reported in the literature for linear arrays},
	keywords = {algorithms;, algorithms;intermediate, algorithms;rotation;scaling;scan, array, computation;image, DCT;block, DFT;convex, filtering;optimal, hulls;convolution;expanding;histogram, level, line, machine;block, matching;translation;convolution;image, PROCESSING, processing;labelling;low, processing;median, processing;parallel, processor;shrinking;template, SIMD},
	isbn = {0162-8828},
	doi = {10.1109/34.368153},
	author = {Helman,D. and JaJa, Joseph F.}
}
@conference {13571,
	title = {Image based typographic analysis of documents},
	booktitle = {Document Analysis and Recognition, 1993., Proceedings of the Second International Conference on},
	year = {1993},
	month = {1993/10//},
	pages = {769 - 773},
	abstract = {An approach to image based typographic analysis of documents is provided. The problem requires a spatial understanding of the document layout as well as knowledge of the proper syntax. The system performs a page synthesis from the stream of formatting commands defined in a DVI file. Since the two-dimensional relationships between document components are not explicit in the page language, the authors develop a representation which preserves the two-dimensional layout, the read-order and the attributes of document components. From this hierarchical representation of the page layout we extract and analyze relevant typographic features such as margins, line and character spacing, and figure placement},
	keywords = {2D, analysis;, attributes;, based, character, commands;, component, data, description, document, DVI, extraction;, feature, figure, file;, formatting, hierarchical, image, language;, languages;, layout;, line, margins;, page, placement;, processing;, read-order;, relationships;, representation;, spacing;, spatial, structures;, syntax;, synthesis;, typographic, understanding;},
	doi = {10.1109/ICDAR.1993.395624},
	author = {David Doermann and Furuta,R.}
}
