Exploiting parallax in panoramic capture to construct light fields

We show that the parallax motion resulting from non-nodal rotation in panorama capture can be exploited for light field construction from commodity hardware. Automated panoramic image capture typically seeks to rotate a camera exactly about its nodal point, for which no parallax motion is observed. This can be difficult or impossible to achieve due to limitations of the mounting or optical systems, and consequently a wide range of captured panoramas suffer from parallax between images. We show that by capturing such imagery over a regular grid of camera poses, then appropriately transforming the captured imagery to a common parameterisation, a light field can be constructed. The resulting four-dimensional image encodes scene geometry as well as texture, allowing an increasingly rich range of light field processing techniques to be applied. Employing an Ocular Robotics REV25 camera pointing system, we demonstrate light field capture,refocusing and low-light image enhancement

Indoor Mobile Robotics at Grima, PUC

This paper describes the main activities and achievements of our research group on Machine Intelligence and Robotics (Grima) at the Computer Science Department, Pontificia Universidad Catolica de Chile (PUC). Since 2002, we have been developing an active research in the area of indoor autonomous social robots. Our main focus has been the cognitive side of Robotics, where we have developed algorithms for autonomous navigation using wheeled robots, scene recognition using vision and 3D range sensors, and social behaviors using Markov Decision Processes, among others. As a distinguishing feature, in our research we have followed a probabilistic approach, deeply rooted in machine learning and Bayesian statistical techniques. Among our main achievements are an increasing list of publications in main Robotics conference and journals, and the consolidation of a research group with more than 25 people among full-time professors, visiting researchers, and graduate students

OCT guided vs. COmplete pci in patieNts with sT segment elevation myocArdial infarCtion and mulTivessel disease: OCT-CONTACT RCT

Background: In patients with ST-segment elevation myocardial infarction (STEMI), percutaneous coronary intervention (PCI) of the culprit lesion significantly reduces the risk of cardiovascular death. However, the management of non-culprit lesions in patients with the multivessel disease remains a matter of debate in this setting. It's still unclear if a morphological OCT-guided approach, identifying coronary plaque instability, may provide a more specific treatment compared with a standard angiographic/functional approach. Methods: OCT-Contact is a prospective, multicenter, open-label, non-inferiority randomized controlled trial. Patients with STEMI with successful primary PCI of the culprit lesion will be enrolled after the index PCI. Patients will be deemed eligible if a critical coronary lesion other than the culprit (associated with a diameter of stenosis ≥50%) will be identified during the index angiography. Patients will be randomized in a 1:1 fashion to OCT-guided PCI of non-culprit lesions (Group A) vs. complete PCI (Group B). PCI in group A will be undertaken according to criteria of plaque vulnerability, while in group B the use of fractional flow reserve will be left at the operators' discretion. Major-adverse cardiovascular events (MACE) are a composite of all-cause mortality, non-fatal myocardial infarction (MI) (excluding peri-procedural MI), unplanned revascularization, and NYHA IV heart failure) will be the primary efficacy outcome. Single components of MACE along with cardiovascular mortality will be the secondary endpoints. . Safety endpoints will embrace worsening of renal failure, procedural complications, and bleedings. Patients will be followed for 24 months after randomization. Results: A sample size of 406 patients (203 per group) is required to provide the analysis an 80% power to detect a non-inferiority in the primary endpoint with an alpha error set at 0.05 and a non-inferiority limit of 4%. Conclusions: A morphological OCT-guided approach may be a more specific treatment compared with the standard angiographic/functional approach in non-culprit lesions of STEMI patients