Labelling 2-D geometric primitives using probabilistic relaxation:reducing the computational requirements

In previous work, an algorithm for matching geometric features was developed. Although the method worked well, it was demanding in computational resources when applied to large problems. The authors now present methods for reducing the computational requirements, without significantly affecting the reliability of the algorithm     

Automatic annotation of tennis games: An integration of audio,vision, and learning

Fully automatic annotation of tennis game using broadcast video is a task with a great potential but with enormous challenges. In this paper we describe our approach to this task, which integrates computer vision, machine listening, and machine learning. At the low level processing, we improve upon our previously proposed state-of-the-art tennis ball tracking algorithm and employ audio signal processing techniques to detect key events and construct features for classifying the events. At high level analysis, we model event classification as a sequence labelling problem, and investigate four machine learning techniques using simulated event sequences. Finally, we evaluate our proposed approach on three real world tennis games, and discuss the interplay between audio, vision and learning. To the best of our knowledge, our system is the only one that can annotate tennis game at such a detailed level.     

Pose-invariant face recognition by matching on multi-resolution MRFs linked by supercoupling transform

Recognition of faces in arbitrary pose is addressed in this paper. For this task, an MRF-based classification approach is proposed which employs the energy of the established match between a pair of images as a criterion of goodness-of-match. By incorporating an image matching method as part of the recognition process, the system is made robust to moderate global spatial transformations. The approach draws on a method [1] which has the potential to cope with pose changes but a direct application of which suffers from several shortcomings. In order to overcome these problems, a number of enhancements are proposed. First, by adopting a multi-scale relaxation scheme based on super coupling transform, the inference using sequential tree re-weighted message passing approach [2] is accelerated. Next, by taking advantage of a statistical shape prior for the matching, the results are regularized and constrained, making the system robust to spurious structures and outliers. For classification, both textural and structural similarities of the facial images are taken into account. The method is evaluated on two databases and promising results are obtained.     

Primary retroperitoneal germ cell tumours: excision via a thoracoabdominal extraperitoneal approach

BACKGROUND: Primary retroperitoneal germ cell tumours usually present as a large abdominal mass in young men. The testes are normal on examination and ultrasonography but there are usually raised serum levels of human chorionic gonadotrophin and/or alpha-fetoprotein. METHODS: Fourteen men (median age 33 years) with primary retroperitoneal germ cell tumours were treated by chemotherapy followed by surgical resection of the primary tumour and metastases via a thoracoabdominal extraperitoneal approach. RESULTS: There was minimal morbidity. The survival rate was 13 of 14 and the disease-free survival rate was 11 of 14 after a median follow-up of 15 months. CONCLUSION: The thoracoabdominal extraperitoneal approach for the removal of retroperitoneal germ cell tumours and their metastases after chemotherapy improves tumour clearance, morbidity and recovery time compared with the transperitoneal anterior approach.     

Pulse measurement of r63? in KD*P

A subnanosecond voltage generator has been used to measure the zero-strain electro-optic coefficient r63? of KD*P, and a value of 24.0×10?12 m/V±5% has been obtained.     

Laser-induced damage in XDP materials

Pulsed-laser damage in XDP electro-optic crystals, occurring at energy densities ? 2J/cm2, has been related to the presence of micrometer-sized inclusions. For material free of these inclusions damage occurs by self-focusing mechanisms at power densities of approximately 20GW/cm2.     

Vestitol: A phytoalexin with insect feeding-deterrent activity

A major feeding deterrent forCostelytra zealandica larvae was isolated from the root of the resistant pasture legumeLotus pedunculatus and was identified as 3R-(—)-vestitol. This compound was also identified in feeding deterrent-activeL. pedunculatus leaf extracts. (—)-Vestitol and a secondLotus isoflavan, sativan, have been reported to have phytoalexin activity, and the implications of this for the study and understanding of insect resistance are briefly discussed.