Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Maziar Loghman"'
Publikováno v:
The Journal of Supercomputing. 74:3666-3684
Depth estimation is one of the essential components in many computer vision applications such as 3D scene reconstruction and stereo-based object detection. In such applications, the overall quality of the system highly depends on the quality of depth
Publikováno v:
ICASSP
Region of interest (ROI) generation is an important step in stereo-based pedestrian detection systems. In this paper, we propose an ROI generation method by fusing the color and depth information obtained from a stereo camera mounted on a vehicle. In
Autor:
Joohee Kim, Maziar Loghman
Publikováno v:
Multimedia Tools and Applications. 74:1611-1625
In this paper, we present a novel view synthesis algorithm for three-dimensional video. The proposed algorithm is based on segmentation using multi-level thresholding method. Recently, numerous techniques have been suggested which use a 2-D color ima
Publikováno v:
Mobile Networks and Applications. 19:414-425
In this paper, we present a novel real-time algorithm to refine depth maps generated by low-cost commercial depth sensors like the Microsoft Kinect. The Kinect sensor falls under the category of RGB-D sensors that can generate a high resolution depth
Publikováno v:
2015 International SoC Design Conference (ISOCC).
Stereo-based advanced driver assistance systems have become more popular because stereovision enables to obtain a three-dimensional (3-D) representation of the environment around a vehicle. However, such information may not always be accurate because
Publikováno v:
2014 International SoC Design Conference (ISOCC).
Generating a dense disparity image is one of the essential prerequisite for many applications such as rendering virtual views, 3D scene reconstruction, and advanced driver assistance systems (ADAS). In this paper, a depth estimation technique is prop
Publikováno v:
2014 International SoC Design Conference (ISOCC).
In this paper, a depth map estimation algorithm that performs stereo matching without explicit image rectification has been proposed. In the proposed method, the fundamental matrix is estimated by using Random Sample Consensus and the 8-point algorit
Autor:
Maziar Loghman, Joohee Kim
Publikováno v:
ICCVE
Generating an accurate and dense disparity image is one of the important requirements for many applications such as 3D video and stereo vision-based advanced driver assistance systems (ADAS). Depth estimation is the process of obtaining a depth map b
Publikováno v:
ISOCC
With the introduction of the Microsoft Kinect into the gaming industry and release of Kinect-based application development kits, a whole new industry has evolved around the Kinect with applications for gaming, gesture recognition for controlling devi