Titlebook: New Trends in Image Analysis and Processing, ICIAP 2013 Workshops; Naples, Italy, Septe Alfredo Petrosino,Lucia Maddalena,Pietro Pala Confe

揉雜

流浪

厚顏

A Fast and Precise HOG-Adaboost Based Visual Support System Capable to Recognize Pedestrian and Esti by 18.9% in respect to standard HOG detectors. Experimental tests have also shown the system ability to estimate the distance of the pedestrian by the use of a simple perspective model. The system has been tested on several photographic datasets and have shown excellent performances also in ambiguous cases.

Spongy-Bone

鞭打

Two Bioinspired Methods for Dynamic Signatures Analysis evidences that led to the well-known Minimum Jerk Model. These methods are alternatives to the existing techniques and are very simple to implement. Experimental evidence indicates that the Minimum Jerk is in fact a good choice for signature representation amongst the family of quadratic derivative cost functions defined in Section 2.

OVER

Exploiting Stability Regions for Online Signature Verification exploits both their ability to model signing habits and their effectiveness in capturing distinctive features. The stability regions represent the core of a signature verification system whose performance is evaluated on a standard benchmark.

conformity

3D Object Partial Matching Using Panoramic Viewson Dense SIFT descriptors computed on panoramic views. Performance evaluation builds upon the standard measures and a challenging 3D pottery dataset originated from the Hampson Archeological Museum collection.

廚師

0302-9743 st to the pattern recognition, image analysis, and computer vision communities, exploring emergent research directions or spotlight cross-disciplinary links with related fields and / or application areas.978-3-642-41189-2978-3-642-41190-8Series ISSN 0302-9743 Series E-ISSN 1611-3349

Crumple

A Robust Hand Pose Estimation Algorithm for Hand Rehabilitationied for evaluating some significant kinematic parameters necessary for understanding human hand motor improvements during rehabilitation. In particular, the parameters evaluated for the hand fingers are joint positions, angles, Range Of Motion and trajectory. Moreover, the position, orientation and velocity of the wrist are estimated.

Conjuction