Publicaties
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A Real-Time High-Quality Complete System for Depth Image-Based Rendering on FPGA Universiteit Hasselt
Depth image-based rendering (DIBR) techniques have drawn more attention in various three dimensional (3D) applications nowadays. In this paper, a real-time high-quality DIBR system which consists of disparity estimation and view synthesis is proposed. For disparity estimation, a local approach that focuses on depth discontinuities and disparity smoothness is presented to improve the disparity accuracy. For view synthesis, a method that contains ...
Demo: Depth estimation for 1K-pixel stereo visual sensors Vrije Universiteit Brussel
This demonstrator explores the applicability of depth estimation based on stereo video with extremely low
resolution, i.e., 3030 pixels. To handle this resolution, this paper proposes a disparity estimation technique, composed of local correlation-based matching of two low-resolution stereo images followed by segmentation-driven post-processing. The demonstrator includes a setup where a stereo visual sensor is
connected to a laptop ...
resolution, i.e., 3030 pixels. To handle this resolution, this paper proposes a disparity estimation technique, composed of local correlation-based matching of two low-resolution stereo images followed by segmentation-driven post-processing. The demonstrator includes a setup where a stereo visual sensor is
connected to a laptop ...
Multi-scale, multi-dimensional binocular endoscopic image depth estimation network Vrije Universiteit Brussel
During invasive surgery, the use of deep learning techniques to acquire depth information from lesion sites in real-time is hindered by the lack of endoscopic environmental datasets. This work aims to develop a high-accuracy three-dimensional (3D) simulation model for generating image datasets and acquiring depth information in real-time. Here, we proposed an end-to-end multi-scale supervisory depth estimation network (MMDENet) model for the ...
On the convexity of bit depth allocation for linear MMSE estimation in wireless sensor networks KU Leuven
Depth estimation in multiview light field camera systems Vrije Universiteit Brussel
In this research, we went through the main stages to render a 3D scene in 6Degrees of Freedom: data acquisition, point cloud or depth map estimation, surfacereconstruction and view synthesis rendering.We generated datasets, some of them computer-generated using Blender, andsome of them real scenery for which we built two acquisition rigs. On the first onewe could put any type of camera – RGB or Time-of-Flight – which could then bemoved in space ...
Towards Real-time Estimation of a Spherical Eye Model based on a Single Fiber OCT KU Leuven
Depth perception remains a key challenge in vitreoretinal surgery. Currently users only have the view from an overhead stereo-microscope available, but this means of visualisation is quite restrictive. Optical Coherence Tomography (OCT) has been introduced in the past and is even integrated in a number of commercial systems to provide a more detailed depth vision, even showing subsurface structures up to a few millimeters below the surface. The ...
Real time head pose estimation from consumer depth cameras KU Leuven
We present a system for estimating location and orientation of a person's head, from depth data acquired by a low quality device. Our approach is based on discriminative random regression forests: ensembles of random trees trained by splitting each node so as to simultaneously reduce the entropy of the class labels distribution and the variance of the head position and orientation. We evaluate three different approaches to jointly take ...
A unified treatment of the reference estimation problem in depth EEG recordings KU Leuven Universiteit Gent
The starting point of this paper is the analysis of the reference problem in intra-cerebral electroencephalographic (iEEG) recordings. It is well accepted that both surface and depth EEG signals are always recorded with respect to some unknown time-varying signal called reference. This article discusses different methods for determining and reducing the influence of the reference signal for the iEEG signals. In particular, we derive optimal ...
Real-time Local Stereo Matching using Edge Sensitive Adaptive Windows Universiteit Hasselt
This paper presents a novel aggregation window method for stereo matching, by combining the disparity hypothesis costs of multiple pixels in a local region more efficiently for increased hypothesis confidence. We propose two adaptive windows per pixel region, one following the horizontal edges in the image, the other the vertical edges. Their combination defines the final aggregation window shape that rigorously follows all object edges, ...