TreeBASIS Feature Descriptor and Its Hardware Implementation

This paper presents a novel feature descriptor called TreeBASIS that provides improvements in descriptor size, computation time, matching speed, and accuracy. This new descriptor uses a binary vocabulary tree that is computed using basis dictionary images and a test set of feature region images. To facilitate real-time implementation, a feature region image is binary quantized and the resulting quantized vector is passed into the BASIS vocabulary tree. A Hamming distance is then computed between the feature region image and the effectively descriptive basis dictionary image at a node to determine the branch taken and the path the feature region image takes is saved as a descriptor. The TreeBASIS feature descriptor is an excellent candidate for hardware implementation because of its reduced descriptor size and the fact that descriptors can be created and features matched without the use of floating point operations. The TreeBASIS descriptor is more computationally and space efficient than other descriptors such as BASIS, SIFT, and SURF. Moreover, it can be computed entirely in hardware without the support of a CPU for additional software-based computations. Experimental results and a hardware implementation show that the TreeBASIS descriptor compares well with other descriptors for frame-to-frame homography computation while requiring fewer hardware resources

Ghana 3D Telemedicine International MDT : A proof-of-concept study

A real-time 3D Telemedicine system – leveraging Microsoft's Holoportation™ communication technology – enabled an international multidisciplinary team meeting (MDT) to consult with complex reconstructive patients before, during, and after an overseas surgical collaboration. Methods: A proof-of-concept international 3D MDT clinic took place in November 2022, between the Canniesburn Plastic Surgery Unit, UK, and the National Reconstructive Plastic Surgery and Burns Centre, Korle Bu Teaching Hospital, Ghana. The 3D system was utilised 1) previsit to assess patients and enable logistical planning, 2) on-site in Ghana to further allow patients to see themselves and proposed operations in 3D, and 3) post visit to debrief the team and patients. Results: Four Ghana patients were followed through their patient journey (mandibular ameloblastoma, sarcoma thigh, maxillary tumour, sarcoma back). Thirteen participants (four patients, four Ghana clinicians, and five UK clinicians) completed feedback on the 3D MDT. Outcome measures were rated highly with satisfaction 84.31/100, perceived benefit 4.54/5, overall quality 127.3/147 (Telehealth Usability Questionnaire), and usability 83.2/100 (System Usability Scale). These data show close alignment with that previously published on high-income countries. Conclusions: This novel technology has the potential to enhance the delivery of overseas surgical visits to low-to-middle-income countries, by improving planning, informed discussion with patients, expert consensus on complex cases, and fostering engagement with professionals who may be thousands of miles away. This is the first demonstration that real-time 3D Telemedicine can both work, and enhance care within an international MDT clinic, and may thus enable change in the approach to overseas surgical collaborations

Participatory Development of a 3D Telemedicine system during Covid: the future of remote consultations

Background: The Covid pandemic brought the need for more realistic remote consultations into focus. 2D telemedicine solutions fail to replicate the fluency or authenticity of in-person consultations. This research reports on an international collaboration on the participatory development and first validated clinical use of a novel, real-time 360-degree 3D Telemedicine system worldwide. Development of the system - leveraging Microsoft's HoloportationTM communication technology – commenced at Canniesburn Plastic Surgery Unit, Glasgow in March 2020. Methods: Research followed VR CORE guidelines on development of Digital Health trials, placing patients at the heart of the development process. This consisted of three separate studies - a clinician feedback study (23 clinicians, Nov-Dec 2020), a patient feedback study (26 patients, Jul-Oct 2021), and a cohort study focusing on safety and reliability (40 patients, Oct 2021 - Mar 2022). “Lose, Keep and Change” feedback prompts were used to engage patients in the development process and guide incremental improvements. Results: Participatory testing demonstrated improved patient metrics with 3D in comparison to 2D Telemedicine, including validated measures of satisfaction (p<0.0001), realism or ‘presence’ (Single Item Presence scale, p<0.0001), and quality (Telehealth Usability Questionnaire, p=0.0002). Safety and clinical concordance (95%) of 3D Telemedicine with a face-to-face consultation were equivalent or exceeded estimates for 2D Telemedicine. Conclusions: One of the ultimate goals of telemedicine is for the quality of remote consultations to get closer to the experience of face-to-face consultations. These data provide the first evidence that HoloportationTM communication technology brings 3D telemedicine closer to this goal than a 2D equivalent

Participatory development of a 3D telemedicine system during COVID : the future of remote consultations

The COVID pandemic brought the need for more realistic remote consultations into focus. 2D Telemedicine solutions fail to replicate the fluency or authenticity of in-person consultations. This research reports on an international collaboration on the participatory development and first validated clinical use of a novel, real-time 360-degree 3D Telemedicine system worldwide. The development of the system - leveraging Microsoft's Holoportation™ communication technology - commenced at the Canniesburn Plastic Surgery Unit, Glasgow, in March 2020. The research followed the VR CORE guidelines on the development of digital health trials, placing patients at the heart of the development process. This consisted of three separate studies - a clinician feedback study (23 clinicians, Nov-Dec 2020), a patient feedback study (26 patients, Jul-Oct 2021), and a cohort study focusing on safety and reliability (40 patients, Oct 2021-Mar 2022). "Lose, Keep, and Change" feedback prompts were used to engage patients in the development process and guide incremental improvements. Participatory testing demonstrated improved patient metrics with 3D in comparison to 2D Telemedicine, including validated measures of satisfaction (

An Embedded Vision System for an Unmanned Four-rotor Helicopter

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An embedded vision system for an unmanned Four-Rotor helicopter

ABSTRACT In this paper an embedded vision system and control module is introduced that is capable of controlling an unmanned four-rotor helicopter and processing live video for various law enforcement, security, military, and civilian applications. The vision system is implemented on a newly designed compact FPGA board (Helios). The Helios board contains a Xilinx Virtex-4 FPGA chip and memory making it capable of implementing real time vision algorithms. A Smooth Automated Intelligent Leveling daughter board (SAIL), attached to the Helios board, collects attitude and heading information to be processed in order to control the unmanned helicopter. The SAIL board uses an electrolytic tilt sensor, compass, voltage level converters, and analog to digital converters to perform its operations. While level flight can be maintained, problems stemming from the characteristics of the tilt sensor limits maneuverability of the helicopter. The embedded vision system has proven to give very good results in its performance of a number of realtime robotic vision algorithms