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Video editing plays an important role in today's cinematic post-production: editing operations are typically applied on a keyframe basis and propagated automatically to the rest of the sequence. Thereby, small inconsistencies in correspondences used for the propagation of editing operations accumulate and need to be corrected manually. The amount of required manual interaction increases further when...
In this paper we present the design and fabrication of a low cost surface mountable planar optical interconnect and the integration in a low-cost multifunctional and multispectral CMOS vision sensor (MFOS) to detect critical environmental parameters (fog, rain, twilight) providing, at the same time, information on the driving scenario (oncoming vehicles, VRUs in night conditions). The project ADOSE...
In this paper, we propose a novel framework for motion compensated frame rate up conversion. The proposed algorithm consists of two steps: generation of interpolated images and fusion of them. In the first step, we generate four different interpolated frames between the given two frames. Those frames are obtained through motion compensated interpolation, by using a different set of optical flow fields...
This paper presents an automatic macula detection technique that makes use of the circular brightness profile of the macula: the macula is usually darker than the surrounding pixels whose intensities increase gradually with their distances from the macula center. A line operator is designed to capture the macula circular brightness profile, which evaluates the image brightness variation along multiple...
Computer holographic stereogram (CHS) is useful for holographic 3D TV because it is constructed from the multi camera horizontal viewpoint plane images and is compatible to the multi holographic stereogram image. Each hologram is recorded as a slit hologram (element hologram) but total viewing area and the number of the element holograms have been limited to some extent by the size and the resolution...
In this paper, we present a new approach to count the number of people that cross a counting line from monocular video images. The proposed approach accumulates image slices and estimates the optical flow on them. Then, it performs an online blob detection on these slices in order to extract the crossing persons. The number of persons associated to each blob is determined using a linear regression...
In this paper, we propose an effective framework to automatically segment hard exudates (HEs) in fundus images. Our framework is based on a coarse-to-fine strategy, as we first get a coarse result allowed of some negative samples, then eliminate the negative samples step by step. In our framework, we make the most of the multi-channel information by employing a boosted soft segmentation algorithm...
A photonic crystal fiber is a new type of optical fiber that presents an array of air holes running along its whole length and whose properties can be predicted upon precise knowledge of its cross section. Up to now, the cross section of these fibers has been estimated through manual segmentation of the contours in scanning electron microscopy (SEM) images. In this work, an image processing tool,...
Planes are important geometric features and can be used in a wide range of vision tasks like scene reconstruction, path planning and robot navigation. This work aims to illustrate a plane segmentation system based on homography computation and optical flow estimation. Firstly, using two image frames from a monocular sequence, a set of match pairs of interest points is obtained. An algorithm was developed...
This paper proposes a method for motion tracking of objects without a pre-defined shape, the main aspect of this method is the use of a probabilistic volumetric reconstruction that incorporates motion information. First, a volumetric reconstruction of the objects of interest is obtained by the 3D Probabilistic Occupancy Grid method, which was recently proposed for to be applied in environments sensed...
In order to identify the vibration parameters of a vibrated image, the principle and shortage of the traditional methods that based on image derivative and image transformation are analyzed, and a new parameter identification method is proposed afterward. By placing a high-speed CCD aside the master CCD, the vibration can be sampled accurately, and more information can be obtained for parameter identification...
GMM based algorithms have become the de facto standard for background subtraction in video sequences, mainly because of their ability to track multiple background distributions, which allows them to handle complex scenes including moving trees, flags moving in the wind etc. However, it is not always easy to determine which distributions of the mixture belong to the background and which distributions...
Small vibrations of eyeball, which occur when we fix our gaze on object, is called "fixational eye movements.'' It has been reported that such the involuntary eye movements work also for monocular depth perception. In this study, we focus on "tremor'' which is the smallest type of fixational eye movement, and construct depth perception model based on tremor using MAP-EM algorithm. Its effectiveness...
This paper describes an approach to segment and locate people in crowded scenarios with application to a surveillance system for airport dependencies. To obtain robust operation, the system analyzes a variety of visual cues -color, motion and shape- and integrates them optimally. A general method for automatic inference of optimal cue integration rules is presented. This schema, based on supervised...
Shift-map image processing is a new framework based on energy minimization over a large space of labels. The optimization utilizes alpha-expansion moves and iterative refinement over a Gaussian pyramid. In this paper we extend the range of applications to image registration. To do this, new data and smoothness terms have to be constructed. We note a great improvement when we measure pixel similarities...
Person localization is fundamental in human centered computing, since person should be localized before being actively serviced. This paper proposed a robust approach to localize person based on the geometric constraints in multi-camera environment. The proposed algorithm has several advantages: 1) no assumption on the positions and orientations of cameras except the cameras should have certain common...
In this paper we present a scene analysis technique with subpixel filtering based on dense coded light fields. Our technique computes alignment and optically projects analysis filters to local surfaces within the extent of a camera pixel. The resolution gain depends on the local light field density not on the point spread function of the camera optics. An initial structured light sequence is used...
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...
Nowadays star sensor technology used in aircraft attitude measurement has become more and more popular for its high precision, light weight, without attitude accumulation errors and other advantages. In order to enhance the accuracy of star sensor, it is critical to make efforts to promote the precision of star image locating. High precision star image locating method mentioned in this article includes...
This paper presents a novel biologically-inspired approach for tackling the problem of robot homing. In our method the only information employed is optical flow. Optical flow, which is not a property of landmarks like colour, shape, and size but a property of the camera motion, is used for localising an autonomous robot in a priori unknown environment. Our method exploits the optical flow `fingerprint'...
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