Sorry, you need to enable JavaScript to visit this website.

3D Reconstruction

Evolutionary Camera Pose Estimation of a Multi-Camera Setup for Computed Tomography

Paper Details

Authors:
Andreas Unterberger, Jan Menser, Andreas Kempf, Khadijeh Mohri
Submitted On:
19 September 2019 - 11:15pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

ICIP2019_Unterberger_Poster.pdf

(53)

Keywords

Additional Categories

Subscribe

[1] Andreas Unterberger, Jan Menser, Andreas Kempf, Khadijeh Mohri, "Evolutionary Camera Pose Estimation of a Multi-Camera Setup for Computed Tomography", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4755. Accessed: Aug. 06, 2020.
@article{4755-19,
url = {http://sigport.org/4755},
author = {Andreas Unterberger; Jan Menser; Andreas Kempf; Khadijeh Mohri },
publisher = {IEEE SigPort},
title = {Evolutionary Camera Pose Estimation of a Multi-Camera Setup for Computed Tomography},
year = {2019} }
TY - EJOUR
T1 - Evolutionary Camera Pose Estimation of a Multi-Camera Setup for Computed Tomography
AU - Andreas Unterberger; Jan Menser; Andreas Kempf; Khadijeh Mohri
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4755
ER -
Andreas Unterberger, Jan Menser, Andreas Kempf, Khadijeh Mohri. (2019). Evolutionary Camera Pose Estimation of a Multi-Camera Setup for Computed Tomography. IEEE SigPort. http://sigport.org/4755
Andreas Unterberger, Jan Menser, Andreas Kempf, Khadijeh Mohri, 2019. Evolutionary Camera Pose Estimation of a Multi-Camera Setup for Computed Tomography. Available at: http://sigport.org/4755.
Andreas Unterberger, Jan Menser, Andreas Kempf, Khadijeh Mohri. (2019). "Evolutionary Camera Pose Estimation of a Multi-Camera Setup for Computed Tomography." Web.
1. Andreas Unterberger, Jan Menser, Andreas Kempf, Khadijeh Mohri. Evolutionary Camera Pose Estimation of a Multi-Camera Setup for Computed Tomography [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4755

AUTODEPTH: SINGLE IMAGE DEPTH MAP ESTIMATION VIA RESIDUAL CNN ENCODER-DECODER AND STACKED HOURGLASS


We address the task of estimating depth from a single intensity image via a novel convolutional neural network (CNN) encoder-decoder architecture, which learns the depth information using example pairs of color images and their corresponding depth maps. The proposed model integrates residual connections within pooling and up-sampling layers, and hourglass networks which operate on the encoded features, thus processing these at various scales. Furthermore, the model is optimized under the constraints of perceptual as well as the mean squared error loss.

Paper Details

Authors:
Seema Kumari, Ranjeet Ranjhan Jha, Arnav Bhavsar and Aditya Nigam
Submitted On:
19 September 2019 - 12:58am
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

Poster

(76)

Keywords

Additional Categories

Subscribe

[1] Seema Kumari, Ranjeet Ranjhan Jha, Arnav Bhavsar and Aditya Nigam, "AUTODEPTH: SINGLE IMAGE DEPTH MAP ESTIMATION VIA RESIDUAL CNN ENCODER-DECODER AND STACKED HOURGLASS", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4653. Accessed: Aug. 06, 2020.
@article{4653-19,
url = {http://sigport.org/4653},
author = {Seema Kumari; Ranjeet Ranjhan Jha; Arnav Bhavsar and Aditya Nigam },
publisher = {IEEE SigPort},
title = {AUTODEPTH: SINGLE IMAGE DEPTH MAP ESTIMATION VIA RESIDUAL CNN ENCODER-DECODER AND STACKED HOURGLASS},
year = {2019} }
TY - EJOUR
T1 - AUTODEPTH: SINGLE IMAGE DEPTH MAP ESTIMATION VIA RESIDUAL CNN ENCODER-DECODER AND STACKED HOURGLASS
AU - Seema Kumari; Ranjeet Ranjhan Jha; Arnav Bhavsar and Aditya Nigam
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4653
ER -
Seema Kumari, Ranjeet Ranjhan Jha, Arnav Bhavsar and Aditya Nigam. (2019). AUTODEPTH: SINGLE IMAGE DEPTH MAP ESTIMATION VIA RESIDUAL CNN ENCODER-DECODER AND STACKED HOURGLASS. IEEE SigPort. http://sigport.org/4653
Seema Kumari, Ranjeet Ranjhan Jha, Arnav Bhavsar and Aditya Nigam, 2019. AUTODEPTH: SINGLE IMAGE DEPTH MAP ESTIMATION VIA RESIDUAL CNN ENCODER-DECODER AND STACKED HOURGLASS. Available at: http://sigport.org/4653.
Seema Kumari, Ranjeet Ranjhan Jha, Arnav Bhavsar and Aditya Nigam. (2019). "AUTODEPTH: SINGLE IMAGE DEPTH MAP ESTIMATION VIA RESIDUAL CNN ENCODER-DECODER AND STACKED HOURGLASS." Web.
1. Seema Kumari, Ranjeet Ranjhan Jha, Arnav Bhavsar and Aditya Nigam. AUTODEPTH: SINGLE IMAGE DEPTH MAP ESTIMATION VIA RESIDUAL CNN ENCODER-DECODER AND STACKED HOURGLASS [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4653

ACCURATE MESH-BASED ALIGNMENT FOR GROUND AND AERIAL MULTI-VIEW STEREO MODELS


We propose a method for accurate alignment of ground and aerial multi-view stereo (MVS) models. We achieve this goal by reconstructing the surface meshes from MVS point clouds generated by aerial and ground images respectively, and then iteratively removing the gap between them. The key issue is how to establish reliable correspondences between two meshes.

Paper Details

Authors:
Yang Zhou, Shuhan shen, Xiang Gao, Zhanyi Hu
Submitted On:
15 September 2017 - 8:51am
Short Link:
Type:
Event:
Document Year:
Cite

Document Files

ICIP_poster.pdf

(232)

Keywords

Additional Categories

Subscribe

[1] Yang Zhou, Shuhan shen, Xiang Gao, Zhanyi Hu, "ACCURATE MESH-BASED ALIGNMENT FOR GROUND AND AERIAL MULTI-VIEW STEREO MODELS", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2130. Accessed: Aug. 06, 2020.
@article{2130-17,
url = {http://sigport.org/2130},
author = {Yang Zhou; Shuhan shen; Xiang Gao; Zhanyi Hu },
publisher = {IEEE SigPort},
title = {ACCURATE MESH-BASED ALIGNMENT FOR GROUND AND AERIAL MULTI-VIEW STEREO MODELS},
year = {2017} }
TY - EJOUR
T1 - ACCURATE MESH-BASED ALIGNMENT FOR GROUND AND AERIAL MULTI-VIEW STEREO MODELS
AU - Yang Zhou; Shuhan shen; Xiang Gao; Zhanyi Hu
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2130
ER -
Yang Zhou, Shuhan shen, Xiang Gao, Zhanyi Hu. (2017). ACCURATE MESH-BASED ALIGNMENT FOR GROUND AND AERIAL MULTI-VIEW STEREO MODELS. IEEE SigPort. http://sigport.org/2130
Yang Zhou, Shuhan shen, Xiang Gao, Zhanyi Hu, 2017. ACCURATE MESH-BASED ALIGNMENT FOR GROUND AND AERIAL MULTI-VIEW STEREO MODELS. Available at: http://sigport.org/2130.
Yang Zhou, Shuhan shen, Xiang Gao, Zhanyi Hu. (2017). "ACCURATE MESH-BASED ALIGNMENT FOR GROUND AND AERIAL MULTI-VIEW STEREO MODELS." Web.
1. Yang Zhou, Shuhan shen, Xiang Gao, Zhanyi Hu. ACCURATE MESH-BASED ALIGNMENT FOR GROUND AND AERIAL MULTI-VIEW STEREO MODELS [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2130