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Three-dimensional television (3D-TV) has gained increasing popularity in the broadcasting domain, as it enables enhanced viewing experiences in comparison to conventional two-dimensional (2D) TV. However, its application has been constrained due to the lack of essential contents, i.e., stereoscopic videos. To alleviate such content shortage, an economical and practical solution is to reuse the huge...
When computing optical flow with region-based matching, very few of them can be reliably obtained, especially for the high-contrast areas or those with little texture. Instead of using a single pixel from the reference frame, non-deterministic motion utilizes multiple pixels within a neighborhood to represent the corresponding pixel in the current frame. Although remarkable improvement has been made...
Given a set of algorithms, which one(s) should you apply to, i) compute optical flow, or ii) perform feature matching? Would looking at the sequence in question help you decide? It is unclear if even a person with intimate knowledge of all the different algorithms and access to the sequence itself could predict which one to apply. Our hypothesis is that the most suitable algorithm can be chosen for...
The measurement of plant root growth is important in gauging the effect of experimental changes (nutrients, illumination, orientation, etc) made to plants. The most commonly used software is a combination of the common optical flow measurement method of Horn and Shunk with a ruggedized backward forward block matching method. The best results for this method show a low reliability for the optic flow...
This paper describes a simple but non-trivial semidense stereoscopic matching algorithm that could be taught in Computer Vision courses. The description is meant to be instructive and accessible to the student. The level of detail is sufficient for a student to understand all aspects of the algorithm design and to make his/her own modifications. The paper includes the core parts of the algorithm in...
In this paper, we propose an automatic system for robust alignment of 2D optical images with 3D LiDAR (light detection and ranging) data. Focusing on applications such as data fusion and rapid updating for GIS (geographic information systems) from diverse sources when accurate georeference is not available, our goal is a vision-based approach to recover the 2D to 3D transformation including orientation,...
A block-matching-based CMOS optical flow sensor architecture has been developed for real-time processing of moving images. In this architecture, an array of SIMD (single instruction multiple data) units calculate SAD (sum of absolute difference) values using only data from nearest-neighbor-units. As a result, it has become possible to carry out the block matching algorithm very efficiently with a...
In this paper, we analyze the problem of block matching method for computing optical flow and propose a new computing method, which records matching rate distribution for each block in the global searching area during the first time block matching procedure, and compute the predictive vectors, and then combining both of data information, compensate for the incorrect motion vectors, finally, compute...
The principle of stereo printing is based on the binocular vision and the lenticular sheet is needed to separate left and right view images. Because 2D image loses depth information, 3D objects can not be reconstructed by a single image or only discontinuous, limited deepness layers can be got. A method to reconstruct 3D information and get realistic stereo vision images from a single 2D image is...
Human motion self-occlusion due to motion overlapping in the same region is a daunting task to solve. Various motion-recognition methods either bypass this problem or solve this problem in complex manner. Appearance-based template matching paradigms are simpler and hence faster approaches for activity analysis. In this paper, we concentrate on motion self-occlusion problem due to motion overlapping...
Human motion recognition in low-resolution video is very difficult task because due to low-resolution we miss much significant motion information. In this paper, we demonstrated appearance-based directional motion history image (DMHI) method to recognize various levels of video resolutions. The DMHI technique can overcome the self-occlusion problem that arises from motion overwriting. We found that...
Optical flow forms an important initial processing stage for many machine vision tasks. A framework is presented for the recovery of dense optical flows from image sequences containing large motions. Sparse feature correspondences are used to assign multiple optical flow hypotheses to each image pixel which are then independently refined to produce a further set of refined hypotheses. One final flow...
In this paper, we propose a novel dynamic discrete framework to address image morphing with application to optical flow estimation. We reformulate the problem using a number of discrete displacements, and therefore the estimation of the morphing parameters becomes a tractable matching criteria independent combinatorial problem which is solved through the FastPD algorithm. In order to overcome the...
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