publication . Conference object . Preprint . 2013

Indoor Semantic Segmentation using depth information

Couprie, Camille; Farabet, Clément; Najman, Laurent; LeCun, Yann;
Open Access English
  • Published: 02 May 2013
  • Publisher: HAL CCSD
  • Country: France
Abstract
Comment: 8 pages, 3 figures
Subjects
ACM Computing Classification System: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
free text keywords: [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Computer Science - Computer Vision and Pattern Recognition
Related Organizations
23 references, page 1 of 2

[1] B3do: Berkeley 3-d object dataset. http://kinectdata.com/. 1

[2] Cornell-rgbd-dataset. http://pr.cs.cornell.edu/sceneunderstanding/data/data.php. 1

[3] Dan Claudiu Ciresan, Alessandro Giusti, Luca Maria Gambardella, and Ju¨rgen Schmidhuber. Deep neural networks segment neuronal membranes in electron microscopy images. In NIPS, pages 2852-2860, 2012. 1

[4] Camille Couprie. Multi-label energy minimization for object class segmentation. In 20th European Signal Processing Conference 2012 (EUSIPCO 2012), Bucharest, Romania, August 2012. 1

[5] Camille Couprie, Cle´ment Farabet, and Yann LeCun. Causal graph-based video segmentation, 2013. arXiv:1301.1671. 2.2, 3.3

[6] L. Cruz, D. Lucio, and L. Velho. Kinect and rgbd images: Challenges and applications. SIBGRAPI Tutorial, 2012. 1

[7] Anat Levin Dani, Dani Lischinski, and Yair Weiss. Colorization using optimization. ACM Transactions on Graphics, 23:689-694, 2004. 3

[8] Clement Farabet, Camille Couprie, Laurent Najman, and Yann LeCun. Scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers. In Proc. of the 2012 International Conference on Machine Learning, Edinburgh, Scotland, June 2012. 1

[9] Clement Farabet, Camille Couprie, Laurent Najman, and Yann LeCun. Learning hierarchical features for scene labeling. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013. In press. 1, 2.1, 3.1, 3.2, 3.3 [OpenAIRE]

[10] Pedro F. Felzenszwalb and Daniel P. Huttenlocher. Efficient graph-based image segmentation. International Journal of Computer Vision, 59:2004, 2004. 2.1

[11] Stephen Gould, Richard Fulton, and Daphne Koller. Decomposing a Scene into Geometric and Semantically Consistent Regions. In IEEE International Conference on Computer Vision, 2009. 1

[12] Geoffrey E. Hinton, Nitish Srivastava, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. Improving neural networks by preventing co-adaptation of feature detectors. CoRR, abs/1207.0580, 2012. 1

[13] Navdeep Jaitly, Patrick Nguyen, Andrew Senior, and Vincent Vanhoucke. Application of pretrained deep neural networks to large vocabulary speech recognition. In Proceedings of Interspeech 2012, 2012. 1

[14] Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T. Barron, Mario Fritz, Kate Saenko, and Trevor Darrell. A category-level 3-d object dataset: Putting the kinect to work. In ICCV Workshops, pages 1168-1174. IEEE, 2011. 1

[15] Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11):2278 -2324, nov 1998. 2.1

23 references, page 1 of 2
Abstract
Comment: 8 pages, 3 figures
Subjects
ACM Computing Classification System: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
free text keywords: [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Computer Science - Computer Vision and Pattern Recognition
Related Organizations
23 references, page 1 of 2

[1] B3do: Berkeley 3-d object dataset. http://kinectdata.com/. 1

[2] Cornell-rgbd-dataset. http://pr.cs.cornell.edu/sceneunderstanding/data/data.php. 1

[3] Dan Claudiu Ciresan, Alessandro Giusti, Luca Maria Gambardella, and Ju¨rgen Schmidhuber. Deep neural networks segment neuronal membranes in electron microscopy images. In NIPS, pages 2852-2860, 2012. 1

[4] Camille Couprie. Multi-label energy minimization for object class segmentation. In 20th European Signal Processing Conference 2012 (EUSIPCO 2012), Bucharest, Romania, August 2012. 1

[5] Camille Couprie, Cle´ment Farabet, and Yann LeCun. Causal graph-based video segmentation, 2013. arXiv:1301.1671. 2.2, 3.3

[6] L. Cruz, D. Lucio, and L. Velho. Kinect and rgbd images: Challenges and applications. SIBGRAPI Tutorial, 2012. 1

[7] Anat Levin Dani, Dani Lischinski, and Yair Weiss. Colorization using optimization. ACM Transactions on Graphics, 23:689-694, 2004. 3

[8] Clement Farabet, Camille Couprie, Laurent Najman, and Yann LeCun. Scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers. In Proc. of the 2012 International Conference on Machine Learning, Edinburgh, Scotland, June 2012. 1

[9] Clement Farabet, Camille Couprie, Laurent Najman, and Yann LeCun. Learning hierarchical features for scene labeling. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013. In press. 1, 2.1, 3.1, 3.2, 3.3 [OpenAIRE]

[10] Pedro F. Felzenszwalb and Daniel P. Huttenlocher. Efficient graph-based image segmentation. International Journal of Computer Vision, 59:2004, 2004. 2.1

[11] Stephen Gould, Richard Fulton, and Daphne Koller. Decomposing a Scene into Geometric and Semantically Consistent Regions. In IEEE International Conference on Computer Vision, 2009. 1

[12] Geoffrey E. Hinton, Nitish Srivastava, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. Improving neural networks by preventing co-adaptation of feature detectors. CoRR, abs/1207.0580, 2012. 1

[13] Navdeep Jaitly, Patrick Nguyen, Andrew Senior, and Vincent Vanhoucke. Application of pretrained deep neural networks to large vocabulary speech recognition. In Proceedings of Interspeech 2012, 2012. 1

[14] Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T. Barron, Mario Fritz, Kate Saenko, and Trevor Darrell. A category-level 3-d object dataset: Putting the kinect to work. In ICCV Workshops, pages 1168-1174. IEEE, 2011. 1

[15] Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11):2278 -2324, nov 1998. 2.1

23 references, page 1 of 2
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