By Jacques Blanc-Talon, Cosimo Distante, Wilfried Philips, Dan Popescu, Paul Scheunders
This booklet constitutes the refereed court cases of the seventeenth foreign convention on complex recommendations for clever imaginative and prescient structures, ACIVS 2016, held in Lecce, Italy, in October 2016.
The sixty four revised complete papers offered during this quantity have been conscientiously chosen from 137 submissions. They take care of classical low-level photograph processing suggestions; picture and video compression; 3D; defense and forensics; and assessment methodologies.
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Extra info for Advanced Concepts for Intelligent Vision Systems: 17th International Conference, ACIVS 2016, Lecce, Italy, October 24-27, 2016, Proceedings
As described in , a global symmetry detection is considered to be correct if it satisﬁes the following conditions: (1) The angle between the detected symmetry axis and the groundtruth axis is less than 15◦ . 2 multiplied by minimum length of the axes. Accuracy represents the correct detection rate (the number of correct detection images divided by the total number of dataset images). 2 Comparison on PSU Datasets (2010, 2011 and 2013) From Flickr photo sharing website, Liu’s vision group provides a single-symmetry groundtruth for synthetic/real images (size of 2010, 2011 and 2013 datasets are 134, 14 and 75 respectively).
In , Blank et al. used the silhouettes to construction a space-time volume from which space-time saliency, shape structure and orientation are extracted. In  Dollar et al. used the space-temporal volume to ﬁnd local region of interest used as descriptors to separate the different actions. 2- Discrete Transform (DT) features use discrete transform (DT) of each frame to form distinctive features, in  Kumari and Mitra use discrete Fourier transforms (DFTs) of small image blocks as features for activity recognition, in , Tasweer et al.
In: 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 200–205. IEEE (2013) 9. : Computational Symmetry in Computer Vision and Computer Graphics. , Boston (2010) 10. : Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis. 60(2), 91–110 (2004) 11. : Detecting symmetry and symmetric constellations of features. , Pinz, A. ) ECCV 2006. LNCS, vol. 3952, pp. 508–521. Springer, Heidelberg (2006). 1007/11744047 39 12. : Recognition of symmetry structure by use of gestalt algebra.