Tags

Type your tag names separated by a space and hit enter

Silhouette coherence for camera calibration under circular motion.
IEEE Trans Pattern Anal Mach Intell. 2007 Feb; 29(2):343-9.IT

Abstract

We present a new approach to camera calibration as a part of a complete and practical system to recover digital copies of sculpture from uncalibrated image sequences taken under turntable motion. In this paper, we introduce the concept of the silhouette coherence of a set of silhouettes generated by a 3D object. We show how the maximization of the silhouette coherence can be exploited to recover the camera poses and focal length. Silhouette coherence can be considered as a generalization of the well-known epipolar tangency constraint for calculating motion from silhouettes or outlines alone. Further, silhouette coherence exploits all the geometric information encoded in the silhouette (not just at epipolar tangency points) and can be used in many practical situations where point correspondences or outer epipolar tangents are unavailable. We present an algorithm for exploiting silhouette coherence to efficiently and reliably estimate camera motion. We use this algorithm to reconstruct very high quality 3D models from uncalibrated circular motion sequences, even when epipolar tangency points are not available or the silhouettes are truncated. The algorithm has been integrated into a practical system and has been tested on more than 50 uncalibrated sequences to produce high quality photo-realistic models. Three illustrative examples are included in this paper. The algorithm is also evaluated quantitatively by comparing it to a state-of-the-art system that exploits only epipolar tangents.

Links

Publisher Full Text

Authors+Show Affiliations

Hernández C
Department of Engineering, University of Cambridge, UK. ch394@eng.cam.ac.uk
Schmitt F
No affiliation info available
Cipolla R
No affiliation info available

MeSH

AlgorithmsCalibrationComputer GraphicsImage EnhancementImage Interpretation, Computer-AssistedImaging, Three-DimensionalInformation Storage and RetrievalNumerical Analysis, Computer-AssistedPhotographySignal Processing, Computer-Assisted

Pub Type(s)

Journal Article

Language

eng

PubMed ID

17170485

Citation

Hernández, Carlos, et al. "Silhouette Coherence for Camera Calibration Under Circular Motion." IEEE Transactions On Pattern Analysis and Machine Intelligence, vol. 29, no. 2, 2007, pp. 343-9.
Hernández C, Schmitt F, Cipolla R. Silhouette coherence for camera calibration under circular motion. IEEE Trans Pattern Anal Mach Intell. 2007;29(2):343-9.
Hernández, C., Schmitt, F., & Cipolla, R. (2007). Silhouette coherence for camera calibration under circular motion. IEEE Transactions On Pattern Analysis and Machine Intelligence, 29(2), 343-9.
Hernández C, Schmitt F, Cipolla R. Silhouette Coherence for Camera Calibration Under Circular Motion. IEEE Trans Pattern Anal Mach Intell. 2007;29(2):343-9. PubMed PMID: 17170485.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Silhouette coherence for camera calibration under circular motion. AU - Hernández,Carlos, AU - Schmitt,Francis, AU - Cipolla,Roberto, PY - 2006/12/16/pubmed PY - 2007/2/24/medline PY - 2006/12/16/entrez SP - 343 EP - 9 JF - IEEE transactions on pattern analysis and machine intelligence JO - IEEE Trans Pattern Anal Mach Intell VL - 29 IS - 2 N2 - We present a new approach to camera calibration as a part of a complete and practical system to recover digital copies of sculpture from uncalibrated image sequences taken under turntable motion. In this paper, we introduce the concept of the silhouette coherence of a set of silhouettes generated by a 3D object. We show how the maximization of the silhouette coherence can be exploited to recover the camera poses and focal length. Silhouette coherence can be considered as a generalization of the well-known epipolar tangency constraint for calculating motion from silhouettes or outlines alone. Further, silhouette coherence exploits all the geometric information encoded in the silhouette (not just at epipolar tangency points) and can be used in many practical situations where point correspondences or outer epipolar tangents are unavailable. We present an algorithm for exploiting silhouette coherence to efficiently and reliably estimate camera motion. We use this algorithm to reconstruct very high quality 3D models from uncalibrated circular motion sequences, even when epipolar tangency points are not available or the silhouettes are truncated. The algorithm has been integrated into a practical system and has been tested on more than 50 uncalibrated sequences to produce high quality photo-realistic models. Three illustrative examples are included in this paper. The algorithm is also evaluated quantitatively by comparing it to a state-of-the-art system that exploits only epipolar tangents. SN - 0162-8828 UR - https://www.unboundmedicine.com/medline/citation/17170485/Silhouette_coherence_for_camera_calibration_under_circular_motion_ L2 - https://doi.ieeecomputersociety.org/10.1109/TPAMI.2007.42 DB - PRIME DP - Unbound Medicine ER -