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2016


Patches, Planes and Probabilities: A Non-local Prior for Volumetric {3D} Reconstruction
Patches, Planes and Probabilities: A Non-local Prior for Volumetric 3D Reconstruction

Ulusoy, A. O., Black, M. J., Geiger, A.

In IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2016 (inproceedings)

Abstract
In this paper, we propose a non-local structured prior for volumetric multi-view 3D reconstruction. Towards this goal, we present a novel Markov random field model based on ray potentials in which assumptions about large 3D surface patches such as planarity or Manhattan world constraints can be efficiently encoded as probabilistic priors. We further derive an inference algorithm that reasons jointly about voxels, pixels and image segments, and estimates marginal distributions of appearance, occupancy, depth, normals and planarity. Key to tractable inference is a novel hybrid representation that spans both voxel and pixel space and that integrates non-local information from 2D image segmentations in a principled way. We compare our non-local prior to commonly employed local smoothness assumptions and a variety of state-of-the-art volumetric reconstruction baselines on challenging outdoor scenes with textureless and reflective surfaces. Our experiments indicate that regularizing over larger distances has the potential to resolve ambiguities where local regularizers fail.

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YouTube pdf poster suppmat Project Page [BibTex]

2016


YouTube pdf poster suppmat Project Page [BibTex]


Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer
Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer

Xie, J., Kiefel, M., Sun, M., Geiger, A.

In IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2016 (inproceedings)

Abstract
Semantic annotations are vital for training models for object recognition, semantic segmentation or scene understanding. Unfortunately, pixelwise annotation of images at very large scale is labor-intensive and only little labeled data is available, particularly at instance level and for street scenes. In this paper, we propose to tackle this problem by lifting the semantic instance labeling task from 2D into 3D. Given reconstructions from stereo or laser data, we annotate static 3D scene elements with rough bounding primitives and develop a probabilistic model which transfers this information into the image domain. We leverage our method to obtain 2D labels for a novel suburban video dataset which we have collected, resulting in 400k semantic and instance image annotations. A comparison of our method to state-of-the-art label transfer baselines reveals that 3D information enables more efficient annotation while at the same time resulting in improved accuracy and time-coherent labels.

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pdf suppmat Project Page Project Page [BibTex]

pdf suppmat Project Page Project Page [BibTex]


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Robust calibration marker detection in powder bed images from laser beam melting processes

zur Jacobsmühlen, J., Achterhold, J., Kleszczynski, S., Witt, G., Merhof, D.

In 2016 IEEE International Conference on Industrial Technology (ICIT), pages: 910-915, March 2016 (inproceedings)

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DOI [BibTex]

DOI [BibTex]


Deep Discrete Flow
Deep Discrete Flow

Güney, F., Geiger, A.

Asian Conference on Computer Vision (ACCV), 2016 (conference) Accepted

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pdf suppmat Project Page [BibTex]

pdf suppmat Project Page [BibTex]


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Direct Visual-Inertial Odometry with Stereo Cameras

Usenko, V., Engel, J., Stueckler, J., Cremers, D.

In IEEE International Conference on Robotics and Automation (ICRA), 2016 (inproceedings)

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[BibTex]

[BibTex]


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CPA-SLAM: Consistent Plane-Model Alignment for Direct RGB-D SLAM

Ma, L., Kerl, C., Stueckler, J., Cremers, D.

In IEEE International Conference on Robotics and Automation (ICRA), 2016 (inproceedings)

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[BibTex]

[BibTex]


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Unsupervised Learning of Shape-Motion Patterns for Objects in Urban Street Scenes

Klostermann, D., Osep, A., Stueckler, J., Leibe, B.

In British Machine Vision Conference (BMVC), 2016 (inproceedings)

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[BibTex]

[BibTex]


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Scene Flow Propagation for Semantic Mapping and Object Discovery in Dynamic Street Scenes

Kochanov, D., Osep, A., Stueckler, J., Leibe, B.

In IEEE/RSJ Int. Conference on Intelligent Robots and Systems, IROS, 2016 (inproceedings)

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[BibTex]

[BibTex]


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Joint Object Pose Estimation and Shape Reconstruction in Urban Street Scenes Using 3D Shape Priors

Engelmann, F., Stueckler, J., Leibe, B.

In Proc. of the German Conference on Pattern Recognition (GCPR), 2016 (inproceedings)

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[BibTex]

[BibTex]

2011


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Following human guidance to cooperatively carry a large object

Stueckler, J., Behnke, S.

In Proc. of the 11th IEEE-RAS Int. Conf. on Humanoid Robots (Humanoids), pages: 218-223, October 2011 (inproceedings)

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link (url) DOI [BibTex]

2011


link (url) DOI [BibTex]


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Real-Time 3D Perception and Efficient Grasp Planning for Everyday Manipulation Tasks.

Stueckler, J., Steffens, R., Holz, D., Behnke, S.

In Proc. of the European Conf. on Mobile Robots (ECMR), pages: 177-182, 2011 (inproceedings)

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link (url) [BibTex]

link (url) [BibTex]


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Towards joint attention for a domestic service robot - person awareness and gesture recognition using Time-of-Flight cameras

Droeschel, D., Stueckler, J., Holz, D., Behnke, S.

In Proc. of the IEEE Int. Conf. on Robotics and Automation (ICRA), pages: 1205-1210, May 2011 (inproceedings)

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link (url) DOI [BibTex]

link (url) DOI [BibTex]


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Compliant Task-Space Control with Back-Drivable Servo Actuators

Stueckler, J., Behnke, S.

In RoboCup, 7416, pages: 78-89, Lecture Notes in Computer Science, Springer, 2011 (inproceedings)

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link (url) [BibTex]

link (url) [BibTex]


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Interest point detection in depth images through scale-space surface analysis

Stueckler, J., Behnke, S.

In Proc. of the IEEE Int. Conf. on Robotics and Automation (ICRA), pages: 3568-3574, May 2011 (inproceedings)

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link (url) DOI [BibTex]

link (url) DOI [BibTex]


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Learning to Interpret Pointing Gestures with a Time-of-flight Camera

Droeschel, D., Stueckler, J., Behnke, S.

In Proceedings of the 6th International Conference on Human-robot Interaction, pages: 481-488, ACM, 2011 (inproceedings)

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link (url) DOI [BibTex]

link (url) DOI [BibTex]


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Efficient Multi-resolution Plane Segmentation of 3D Point Clouds

Oehler, B., Stueckler, J., Welle, J., Schulz, D., Behnke, S.

In Proc. of the Int. Conf. on Intelligent Robotics and Applications (ICIRA), 7102, pages: 145-156, Lecture Notes in Computer Science, Springer Berlin Heidelberg, 2011 (inproceedings)

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link (url) DOI [BibTex]

link (url) DOI [BibTex]

2008


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In-lane Localization in Road Networks using Curbs Detected in Omnidirectional Height Images

Stueckler, J., Schulz, H., Behnke, S.

In Proceedings of Robotik 2008, 2008 (inproceedings)

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link (url) [BibTex]

2008


link (url) [BibTex]


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Orthogonal wall correction for visual motion estimation

Stueckler, J., Behnke, S.

In Proc. of the IEEE Int. Conf. on Robotics and Automation (ICRA), pages: 1-6, May 2008 (inproceedings)

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link (url) DOI [BibTex]

link (url) DOI [BibTex]

2007


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Hierarchical reactive control for a team of humanoid soccer robots

Behnke, S., Stueckler, J., Schreiber, M., Schulz, H., Böhnert, M., Meier, K.

In Proc. of the IEEE-RAS Int. Conf. on Humanoid Robots (Humanoids), pages: 622-629, November 2007 (inproceedings)

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link (url) DOI [BibTex]

2007


link (url) DOI [BibTex]