Computer Vision – ACCV 2016 - Lecture Notes in Computer Science
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Published By Springer International Publishing

9783319541891, 9783319541907

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Pano2Vid: Automatic Cinematography for Watching 360 $$^{\circ }$$ Videos

Computer Vision – ACCV 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-54190-7_10 ◽

2017 ◽

pp. 154-171 ◽

Cited By ~ 9

Author(s):

Yu-Chuan Su ◽

Dinesh Jayaraman ◽

Kristen Grauman

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Planar Markerless Augmented Reality Using Online Orientation Estimation

Computer Vision – ACCV 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-54190-7_26 ◽

2017 ◽

pp. 424-439

Author(s):

Tatsuya Kobayashi ◽

Haruhisa Kato ◽

Masaru Sugano

Keyword(s):

Augmented Reality ◽

Orientation Estimation ◽

Online Orientation

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Recovering Pose and 3D Deformable Shape from Multi-instance Image Ensembles

Computer Vision – ACCV 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-54190-7_18 ◽

2017 ◽

pp. 291-307

Author(s):

Antonio Agudo ◽

Francesc Moreno-Noguer

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Sparse Coding on Cascaded Residuals

Computer Vision – ACCV 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-54190-7_2 ◽

2017 ◽

pp. 19-34

Author(s):

Tong Zhang ◽

Fatih Porikli

Keyword(s):

Sparse Coding

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3D Watertight Mesh Generation with Uncertainties from Ubiquitous Data

Computer Vision – ACCV 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-54190-7_23 ◽

2017 ◽

pp. 377-391 ◽

Cited By ~ 1

Author(s):

Laurent Caraffa ◽

Mathieu Brédif ◽

Bruno Vallet

Keyword(s):

Mesh Generation

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Adaptive Direct RGB-D Registration and Mapping for Large Motions

Computer Vision – ACCV 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-54190-7_12 ◽

2017 ◽

pp. 191-206

Author(s):

Renato Martins ◽

Eduardo Fernandez-Moral ◽

Patrick Rives

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Variational Convolutional Networks for Human-Centric Annotations

Computer Vision – ACCV 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-54190-7_8 ◽

2017 ◽

pp. 120-135

Author(s):

Tsung-Wei Ke ◽

Che-Wei Lin ◽

Tyng-Luh Liu ◽

Davi Geiger

Keyword(s):

Convolutional Networks

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Can Computer Vision Techniques be Applied to Automated Forensic Examinations? A Study on Sex Identification from Human Skulls Using Head CT Scans

Computer Vision – ACCV 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-54190-7_21 ◽

2017 ◽

pp. 342-359 ◽

Cited By ~ 1

Author(s):

Olasimbo Ayodeji Arigbabu ◽

Iman Yi Liao ◽

Nurliza Abdullah ◽

Mohamad Helmee Mohamad Noor

Keyword(s):

Computer Vision ◽

Sex Identification ◽

Ct Scans ◽

Head Ct ◽

Human Skulls

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Precise Measurement of Cargo Boxes for Gantry Robot Palletization in Large Scale Workspaces Using Low-Cost RGB-D Sensors

Computer Vision – ACCV 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-54190-7_29 ◽

2017 ◽

pp. 472-486 ◽

Cited By ~ 1

Author(s):

Yaadhav Raaj ◽

Suraj Nair ◽

Alois Knoll

Keyword(s):

Large Scale ◽

Precise Measurement ◽

Low Cost ◽

Gantry Robot

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Enhancing Direct Camera Tracking with Dense Feature Descriptors

Computer Vision – ACCV 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-54190-7_33 ◽

2017 ◽

pp. 535-551

Author(s):

Hatem Alismail ◽

Brett Browning ◽

Simon Lucey

Keyword(s):

Camera Tracking ◽

Feature Descriptors

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Computer Vision – ACCV 2016 - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Pano2Vid: Automatic Cinematography for Watching 360 $$^{\circ }$$ Videos

Planar Markerless Augmented Reality Using Online Orientation Estimation

Recovering Pose and 3D Deformable Shape from Multi-instance Image Ensembles

Sparse Coding on Cascaded Residuals

3D Watertight Mesh Generation with Uncertainties from Ubiquitous Data

Adaptive Direct RGB-D Registration and Mapping for Large Motions

Variational Convolutional Networks for Human-Centric Annotations

Can Computer Vision Techniques be Applied to Automated Forensic Examinations? A Study on Sex Identification from Human Skulls Using Head CT Scans

Precise Measurement of Cargo Boxes for Gantry Robot Palletization in Large Scale Workspaces Using Low-Cost RGB-D Sensors

Enhancing Direct Camera Tracking with Dense Feature Descriptors

Computer Vision – ACCV 2016 - Lecture Notes in Computer Science
Latest Publications