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Publikováno v:
ICIP
Light-Field enables us to observe scenes from free viewpoints. However, it generally consists of 4-D enormous data, that are not suitable for storing or transmitting without effective compression. 4-D Light-Field is very redundant because essentially
Publikováno v:
ICIP
In recent years, interest point based feature such as SIFT and SURF are widely used for image matchings. While these features are robust to changes in scales, rotations, and local geometric deformations, they are usually less able to simultaneously h
Publikováno v:
ICIP
A C2Tag refers to a set of concentric circles of different radii. C2Tags have been recently introduced in computer vision, in particular for camera calibration, as they offer highly interesting photometric and geometric properties, compared to the cl
Publikováno v:
ICIP
Detection of the visual salient regions is a challenging and significant problem in computer vision. In this paper, we propose a boundary based prior map and a soft-segmentation based convex hull to improve the saliency detection. First, we present t
Publikováno v:
ICIP
In this paper, we propose a superpixel-driven method for level set tracking. In particular, by taking a superpixel-based speed function, the level set evolution is accelerated greatly. We define a mutual information based speed function using a super
Publikováno v:
ICIP
The aim of this article is to present a new projective stereological method which enables to estimate the size and the shape of a three-dimensional (3-D) convex geometrical object from measurements only made on some of its two-dimensional (2-D) proje
Publikováno v:
ICIP
This paper presents the theoretical analysis and simulation of noncausal directional intra prediction for image and video coding, where noncausal pixels, that is, pixels inside, below, or to the right of the target block, are used to predict the bloc
Publikováno v:
ICIP
This paper presents a novel Photometric Stereo approach for static views that recasts the problem into a piecewise formulation. The proposed algorithm, called Piecewise Photometric Stereo (PPS), entails several advantages in respect to previous globa
Autor:
Gerhard Rigoll, Martin Hofmann
Publikováno v:
ICIP
We present a new spatio-temporal representation for Gait Recognition, which we call Gradient Histogram Energy Image (GHEI). Similar to the successful Gait Energy Image (GEI), information is averaged over full gait cycles to reduce noise. Contrary to
Autor:
Kwok-Wai Hung, Wan-Chi Siu
Publikováno v:
ICIP
In novel view synthesis using the depth image based rendering, there exist some unknown pixel intensities (holes) due to the unexposed area. In this paper, we propose a depth-assisted nonlocal means algorithm to fill the holes using the information i