Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Mashhour Solh"'
Publikováno v:
Proceedings of the ACM Southeast Conference.
Publikováno v:
ICIP
This paper presents an approach to pedestrian detection in thermal infrared (thermal) images with limited annotations. The key idea is to adapt the abundance of color images associated with bounding box annotations to the thermal domain for training
Autor:
Mashhour Solh, Ghassan AlRegib
Publikováno v:
IEEE Transactions on Image Processing. 21:3902-3914
Although several subjective and objective quality assessment methods have been proposed in the literature for images and videos from single cameras, no comparable effort has been devoted to the quality assessment of multicamera images. With the incre
Autor:
Ghassan AlRegib, Mashhour Solh
Publikováno v:
IEEE Journal of Selected Topics in Signal Processing. 6:495-504
Three-dimensional television (3DTV) is believed to be the future of television broadcasting that would replace current 2D HDTV technology. Future 3DTV would bring a more life-like and visually immersive home entertainment experience, in which users w
Autor:
Mashhour Solh
Publikováno v:
Computational Imaging
Extending the depth of field using a single lens camera on a mobile device can be achieved by capturing a set of images each focused at a different depth or focal stack then combine these samples of the focal stack to form a single all-in-focus image
Publikováno v:
Visual Information Processing and Communication
In this paper, we propose a method to extract depth from motion, texture and intensity. We first analyze the depth map to extract a set of depth cues. Then, based on these depth cues, we process the colored reference video, using texture, motion, lum
Autor:
Mashhour Solh
Publikováno v:
2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).
Autor:
Mashhour Solh, Ghassan AlRegib
Publikováno v:
ACSCC
We propose a new view synthesis without using a depth map for stereoscopic images with small baseline. The new technique utilizes the linear relationship between local luminance changes and small horizontal shifts in an image. In this paper, we prove
Publikováno v:
ACSCC
We propose a method to reconstruct the depth map from multiple estimated depth maps relying on monocular cues. Based on extracted depth cues from luminance, chrominance, motion and texture, we obtain an optimal depth estimation by analytically derivi
Autor:
Ghassan AlRegib, Mashhour Solh
Publikováno v:
Three-Dimensional Image Processing (3DIP) and Applications
In this paper we introduce a depth adaptive approach for disocclusion removal in depth image-based rendering (DIBR). This approach extends the hierarchical hole-filling (HHF) presented in an earlier work. Similar to HHF, the depth adaptive approach r