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Obstacle removal is a classic problem in image processing. Because the content behind obstacle can't be deduced only from one image, we introduce a motion obstacle removal problem from an image sequence. It is regarded as a sparse problem with the obstacles as noise. First we match the images with image features to transform the images to the same camera coordinate system. The features of motion objects...
This article reports a novel algorithm inspired byscalar premier determination considering reduced cameraactivation while contributing enhanced coverage of the occurringevent zone. The proposed scheme chooses the scalar premiers in ahexagonal fashion, which operate as representatives of the scalarswithin whose sensing ranges the scalar premiers are located. Theselection of the scalar premiers is accomplished...
In this paper, we describe a novel method to address the challenge of reconstructing the 3D shape of smooth transparent objects. Transparent objects will reflect the incident light; therefore the reflected light would carry cues of the surface received by the camera. We combine two mature methods to complete the 3D geometry acquisition: light-path triangulation and polarization analyses. We determine...
Video surveillance system is widely adopted in order to secure life. This paper presents embedded home surveillance systems to detect intruder in home environment. Proposed system works on embedded Linux board which is equipped with an ordinary web camera. At software level, it uses Open Computer Vision library to detect intruder in two different steps, Histogram of Oriented Gradient and Haar Like...
Computed Tomography is a technique to reconstruct an image of trans-axial slab of the object from a series of x-ray radiographs taken at a prior-known angle. Sequences of x-ray radiographs are served as two-dimensional projection data for a 3D tomography. The most popular Feldkamp Algorithm which is based on Filtered Backprojection (FBP) approaches has shown to perform well for 3D reconstruction....
Recovering object pose is of great importance to many higher level tasks such as robotic manipulation, scene understanding and augmented reality to name a few. Following the recent major breakthroughs in many computer vision tasks made by the deep learning, intensive research to experiment with it also in the task of recovering object pose is conducting. This paper aims to review the state-of-the-art...
In this paper we propose a multi-modal object recognition system that uses a two-step hypothesis verification approach to improve runtime efficiency. The system uses local and global appearance and shape features, generating many possibly competing hypotheses, which are then verified such that the scene can be optimally explained in terms of recognized object models. The introduced modification in...
Active one-shot scanning techniques have been widely used for various applications. Stereo-based active one-shot scanning embeds a positional information regarding the image plane of a projector onto a projected pattern to retrieve correspondences entirely from a captured image. Many combinations of patterns and decoding algorithms for active one-shot scanning have been proposed. If the capturing...
Pedestrian detection is a challenging problem studied over decades. Most algorithms are based on human appearance. Only few works consider motion as a feature component. In this paper, however, we tackle this problem only considering short periods of pedestrian walking. This motion does not depend on the variations of pedestrian pose, body shape, illumination, and background. We model pedestrian motion...
In this paper, a method for unknown object tracking in output images from 360-degree cameras called Modified Training-Learning-Detection (MTLD) is presented. The proposed method is based on the recently introduced Training-Learning-Detection (TLD) scheme in the literature. The flaws of the TLD approach have been detected and significant modifications are proposed to enhance and to elaborate the scheme...
The ubiquitous hand gesture plays an important role in the natural human machine interaction (HMI). Recently, the consumer color and depth cameras have been used to estimate hand shapes and postures for the mid-air HMI. Under the observation that 3D hand contours possess much information of hand postures, we estimate 3D hand contours from infrared images with a limited computation complexity for the...
We present a method to reconstruct the three-dimensional shape of a moving instance of a known object category in video data. We exploit state-of-the-art semantic segmentation techniques to extract the object's two-dimensional shape in each frame. Therefore, our method is robust to occlusion, handles stationary objects and extends naturally to multiple video sequences. We apply Structure from Motion...
One-shot active stereo using structured light is a practical solution for dynamic scene acquisition. Basically, those methods are based on encoding positional information of the pixel into the single projected pattern. A disadvantage of such methods is decreases of the spatial resolution caused by requiring a certain area of the pattern to encode the positional information. Among those methods, grid-based...
How to implement an effective factorization for nonrigid structure from motion(NRSFM) has attracted much attention in recent years. Addressing this problem, we propose a novel sequential factorization method without extra priors other than the basis low-rank prior, consisting of a motion estimation module and a 3D shape recovery module. In the motion estimation module, for improving the estimation...
In this study, we propose a novel method for facial landmark detection (FLD) based on an ensemble of local weighted regressors and a global face shape model under real driving situations. Unlike other FLD approaches, the method proposed in this study first detects the nose region instead of a face-bounding box as a reference point for estimating the offset from a landmark and a reference point. Next,...
A real-time guidance algorithm for obstacle shape mapping is proposed. A stereo vision system and an ultrasonic sensor are assumed to be mounted on a quadrotor to obtain the shape information of an obstacle. The depth map acquired by the stereo vision system is utilized to detect and map the obstacle. Mapping the obstacle is performed by utilizing obstacle data points acquired from the depth map....
High-speed recognition of the shape of a target object is indispensable for robot arms to perform various kinds of dexterous tasks in real time. In this paper, we propose a high-speed 3-D sensing system with active target-tracking. The system consists of a high-speed camera head and a high-speed projector, which are mounted on a two-axis active vision system. By measuring coded structured light projected...
To achieve the goal of frontal vehicle detection in night-driving condition, we propose an effective method to detect the red taillights of vehicles. The challenge is that the taillight images captured with automatic exposure typically are overexposed, which makes red color segmentation often erroneous. Instead of customizing the camera hardware to tackle this problem, we combine morphological and...
The census transform in computing the matching cost of stereo matching is simple and robust under luminance variations in stereo image pairs; however, different disparity maps are generated depending on the shape and size of the census transform window. In this paper, we propose a stereo matching method with variable sizes of census transform windows based on the gradients of stereo images. Our experiment...
This paper proposes a method to reconstruct the 3D shape of objects in participating media. Shape reconstruction of objects in participating media, such as water, fog, and smoke, is difficult due to light scattering, which degrades image quality. While previous methods cope with this problem by removing the scattering components from images, the proposed method estimates optical thickness from images...
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