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Depth coded shape from focus

Depth coded shape from focus

引用

2012 IEEE International Conference on Computational Photography, ICCP 2012

作者： Lenz, Martin Ferstl, David Rüther, Matthias Bischof, Horst Graz University of Technology Institute for Computer Graphics and Vision Inffeldgasse 16 8010 Graz Austria

ISBN: (纸本)9781467316613

We present a novel shape from focus method for high-speed shape reconstruction in optical microscopy. While the traditional shape from focus approach heavily depends on the presence of surface texture, and requires a considerable amount of measurement time, our method is able to perform 3D reconstruction from only two images. Our method relies on the rapid projection of a binary pattern sequence, while an object is continuously moved through the camera focus range and a single image is continuously exposed. Deconvolution of the integral image allows a direct decoding of the binary pattern and its associated depth. Experiments on a synthetic dataset and on real scenes show that a depth map can be reconstructed at only 3% of memory costs and a fraction of the computational effort compared with traditional shape from focus. © 2012 IEEE.

关键词： computer vision

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Microscopic shape from focus with optimal illumination

Microscopic shape from focus with optimal illumination

引用

2011 IEEE computer Society Conference on computer vision and Pattern Recognition Workshops, CVPRW 2011

作者： Lenz, Martin Ruther, Matthias Bischof, Horst Graz University of Technology Institute for Computer Graphics and Vision Inffeldgasse 16 8010 Graz Austria

ISBN: (纸本)9781457705298

We present a novel method for compensating illumination artifacts in shape from focus reconstruction that does not require additional measurement time. Frequently applied in optical microscopy, shape from focus requires rich surface texture over the whole scene. This prerequisite is violated in saturated image regions. To overcome this limitation, we automatically compensate for the scene reflectance by means of a projector-camera system on a per-image basis. We iteratively adapt illumination in the first image and consecutively track the compensation pattern through the image stack to reduce measurement time. Despite the low measurement time, our experiments show that our method outperforms the standard shape from focus approach and is also superior to competing methods like high dynamic range imaging in terms of measurement time and accuracy. © 2011 IEEE.

关键词： Iterative methods

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ATGV-SF: Dense variational scene flow through projective warping and higher order regularization 2

ATGV-SF: Dense variational scene flow through projective war...

引用

2014 2nd International Conference on 3D vision, 3DV 2014

作者： Ferstl, David Reinbacher, Christian Riegler, Gernot Rüther, Matthias Bischof, Horst Graz University of Technology Institute for Computer Graphics and Vision Inffeldgasse 16 Graz8010 Austria

ISBN: (纸本)9781479970018

In this paper we present a novel method to accurately estimate the dense 3D motion field, known as scene flow, from depth and intensity acquisitions. The method is formulated as a convex energy optimization, where the motion warping of each scene point is estimated through a projection and back-projection directly in 3D space. We utilize higher order regularization which is weighted and directed according to the input data by an anisotropic diffusion tensor. Our formulation enables the calculation of a dense flow field which does not penalize smooth and non-rigid movements while aligning motion boundaries with strong depth boundaries. An efficient parallelization of the numerical algorithm leads to runtimes in the order of 1s and therefore enables the method to be used in a variety of applications. We show that this novel scene flow calculation outperforms existing approaches in terms of speed and accuracy. Furthermore, we demonstrate applications such as camera pose estimation and depth image superresolution, which are enabled by the high accuracy of the proposed method. We show these applications using modern depth sensors such as Microsoft Kinect or the PMD Nano Timeof-Flight sensor. © 2014 IEEE.

关键词： Numerical methods

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Detecting paper fibre cross sections in microtomy images

Detecting paper fibre cross sections in microtomy images

引用

International Conference on Pattern Recognition

作者： Kontschieder, Peter Donoser, Michael Bischof, Horst Kritzinger, Johannes Bauer, Wolfgang Institute for Computer Graphics and Vision Graz University of Technology Austria Institute for Paper Pulp and Fibre Technology Graz University of Technology

ISBN: (纸本)9780769541099

The goal of this work is the fully-automated detection of cellulose fibre cross sections in microtomy images. A lack of significant appearance information makes edges the only reliable cue for detection. We present a novel and highly discriminative edge fragment descriptor that represents angular relations between fragment points. We train a Random Forest with a plurality of these descriptors including their respective center votes. In such a way, the Random Forest exploits the knowledge about the object centroid for detection using a generalized Hough voting scheme. In the experiments we found that our method is able to robustly detect fibre cross sections in microtomy images and can therefore serve as initialization for successive fibre segmentation or tracking algorithms. © 2010 IEEE.

关键词： Fibers

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Multi-view image interpretation for street-side scenes

Multi-view image interpretation for street-side scenes

引用

11th IASTED International Conference on computer graphics and Imaging, CGIM 2010

作者： Recky, Michal Leberl, Franz Institute for Computer Graphics and Vision Graz University of Technology Inffeldgasse 16 A-8010 Graz Austria

ISBN: (纸本)9780889868243

In this paper we examine the concept of redundancy and how it can improve the scene interpretation. In our work, we focus on redundant sets of street-side images. Semantic segmentation is performed on each image. Results of the segmentation are compared in overlapping images and matched. We use two principally different datasets to validate our results. The Industrial System dataset is taken from a moving car by well-designed, calibrated, automated cameras, with the geometry and pattern of the images accurately defined. Our second dataset (Tummelplatz-graz) was taken by a hand-held camera in an urban environment, following the "crowd-sourcing" paradigm. Each database provides its typical level of redundancy and different approaches are needed for image matching. The annotated Tummelplatz-graz database will be also released for public to make further references and comparison easier.

关键词： Image segmentation

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Interactive editing of segmented volumetric datasets in a hybrid 2D/3D virtual environment

Interactive editing of segmented volumetric datasets in a hy...

引用

13th ACM Symposium Virtual Reality Software and technology, VRST'06

作者： Bornik, Alexander Beichel, Reinhard Schmalstieg, Dieter Institute for Computer Graphics and Vision Graz University of Technology Inffeldgasse 16 A-8010 Graz Austria

ISBN: (纸本)1595933212

In this paper we present a novel system for segmentation refine-ment, which allows for interactive correction of surface models generated from imperfect automatic segmentations of arbitrary volumetric data. The proposed approach is based on a deformable surface model allowing interactive manipulation with a hybrid user interface consisting of an immersive stereoscopic display and a Tablet PC. The user interface features visualization methods and manipulation tools specifically designed for quick inspection and correction of typical defects resulting from automated segmentation of medical datasets. A number of experiments show that typical segmentation problems can be fixed within a few minutes using the system, while maintaining real-time responsiveness of the system. Copyright 2006 ACM.

关键词： Interactive computer systems

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Omni kinect: Real-time dense volumetric data acquisition and applications

Omni kinect: Real-time dense volumetric data acquisition and...

引用

18th ACM Symposium on Virtual Reality Software and technology, VRST 2012

作者： Kainz, Bernhard Hauswiesner, Stefan Reitmayr, Gerhard Steinberger, Markus Grasset, Raphael Gruber, Lukas Veas, Eduardo Kalkofen, Denis Seichter, Hartmut Schmalstieg, Dieter Institute for Computer Graphics and Vision Graz University of Technology Inffeldgasse 16 A-8010 Graz Austria

ISBN: (纸本)9781450314695

Real-time three-dimensional acquisition of real-world scenes has many important applications in computer graphics, computer vision and human-computer interaction. Inexpensive depth sensors such as the Microsoft Kinect allow to leverage the development of such applications. However, this technology is still relatively recent, and no detailed studies on its scalability to dense and view-independent acquisition have been reported. This paper addresses the question of what can be done with a larger number of Kinects used simultaneously. We describe an interference-reducing physical setup, a calibration procedure and an extension to the KinectFusion algorithm, which allows to produce high quality volumetric reconstructions from multiple Kinects whilst overcoming systematic errors in the depth measurements. We also report on enhancing image based visual hull rendering by depth measurements, and compare the results to KinectFusion. Our system provides practical insight into achievable spatial and radial range and into bandwidth requirements for depth data acquisition. Finally, we present a number of practical applications of our system. Copyright 2012 ACM.

关键词： Systematic errors

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Real-time detection and recognition of machine-readable zones with mobile devices 10

Real-time detection and recognition of machine-readable zone...

引用

10th International Conference on computer vision Theory and Applications, VISAPP 2015

作者： Hartl, Andreas Arth, Clemens Schmalstieg, Dieter Institute for Computer Graphics and Vision Graz University of Technology Inffeldgasse 16 Graz8010 Austria

ISBN: (纸本)9789897580918

Many security documents contain machine readable zones (MRZ) for automatic inspection. An MRZ is intended to be read by dedicated machinery, which often requires a stationary setup. Although MRZ information can also be read using camera phones, current solutions require the user to align the document, which is rather tedious. We propose a real-time algorithm for MRZ detection and recognition on off-the-shelf mobile devices. In contrast to state-of-the-art solutions, we do not impose position restrictions on the document. Our system can instantly produce robust reading results from a large range of viewpoints, making it suitable for document verification or classification. We evaluate the proposed algorithm using a large synthetic database on a set of off-the-shelf smartphones. The obtained results prove that our solution is capable of achieving good reading accuracy despite using largely unconstrained viewpoints and mobile devices.

关键词： Machinery

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Multi-GPU image-based visual hull rendering

Multi-GPU image-based visual hull rendering

引用

12th Eurographics Symposium on Parallel graphics and Visualization, EG PGV 2012

作者： Hauswiesner, Stefan Khlebnikov, Rostislav Steinberger, Markus Straka, Matthias Reitmayr, Gerhard Institute for Computer Graphics and Vision Graz University of Technology Austria

ISBN: (纸本)9783905674354

Many virtual mirror and telepresence applications require novel viewpoint synthesis with little latency to user motion. Image-based visual hull (IBVH) rendering is capable of rendering arbitrary views from segmented images without an explicit intermediate data representation, such as a mesh or a voxel grid. By computing depth images directly from the silhouette images, it usually outperforms indirect methods. GPU-hardware accelerated implementations exist, but due to the lack of an intermediate representation no multi-GPU parallel strategies and implementations are currently available. This paper suggests three ways to parallelize the IBVH-pipeline and maps them to the sorting classification that is often applied to conventional parallel rendering systems. In addition to sort-first parallelization, we suggest a novel sort-last formulation that regards cameras as scene objects. We enhance this method's performance by a block-based encoding of the rendering results. For interactive systems with hard real-time constraints, we combine the algorithm with a multi-frame rate (MFR) system. We suggest a combination of forward and backward image warping to improve the visual quality of the MFR rendering. We observed the runtime behavior of the suggested methods and assessed how their performance scales with respect to input and output resolutions and the number of GPUs. By using additional GPUs, we reduced rendering times by up to 60%. Multi-frame rate viewing can even be ten times faster. © The Eurographics Association 2012.

关键词： graphics processing unit

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Efficiently creating 3D training data for fine hand pose estimation

Efficiently creating 3D training data for fine hand pose est...

引用

2016 IEEE Conference on computer vision and Pattern Recognition, CVPR 2016

作者： Oberweger, Markus Riegler, Gernot Wohlhart, Paul Lepetit, Vincent Institute for Computer Graphics and Vision Graz University of Technology Austria

ISBN: (纸本)9781467388511

While many recent hand pose estimation methods critically rely on a training set of labelled frames, the creation of such a dataset is a challenging task that has been overlooked so far. As a result, existing datasets are limited to a few sequences and individuals, with limited accuracy, and this prevents these methods from delivering their full potential. We propose a semi-automated method for efficiently and accurately labeling each frame of a hand depth video with the corresponding 3D locations of the joints: The user is asked to provide only an estimate of the 2D reprojections of the visible joints in some reference frames, which are automatically selected to minimize the labeling work by efficiently optimizing a sub-modular loss function. We then exploit spatial, temporal, and appearance constraints to retrieve the full 3D poses of the hand over the complete sequence. We show that this data can be used to train a recent state-of-the-art hand pose estimation method, leading to increased accuracy.

关键词： computer vision

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