- #Dmesh triangulation registration
- #Dmesh triangulation portable
- #Dmesh triangulation android
- #Dmesh triangulation Bluetooth
- #Dmesh triangulation download
In particular, for the conventional rectangular coarse grids, since the partitions are restricted in the vertical and horizontal directions, important features such as slant edges and irregular shapes cannot be effectively recorded.
#Dmesh triangulation registration
If the coarse grid cannot capture the important features of the images or video frames, the final registration result is likely to be unsatisfactory. It is noteworthy that the quality of the coarse grid strongly affects the quality of the final registration result. Finally, the fine details can be added back to the coarse registration.
Then, the registration can be done on the coarse grid instead of the high resolution images or video frames. One possible way to accelerate the computation of the registration is to introduce a much coarser grid on the images or video frames. Well retained when compared with the conventional grid-based approach. Triangulation-based approach, meanwhile the accuracy of the registration is Experimental results suggest that theĬomputational time of the registration is significantly reduced using our Then, the computation of the registration can be simplified with More specifically, given a high resolution image or video frame, weĬompute an optimal coarse triangulation which captures the important features TRIM to accelerate the computations of the registration by triangulating the In this work, we propose a novel approach called This hinders the applications of the registration approaches in However, the conventional registrationĪpproaches usually require long computational time for high quality images and Particular, image and video frame registration is frequently applied inĬomputer graphics and film production.
Resolution images and videos has been widespread in the modern society.
#Dmesh triangulation android
There are iOS and Android libraries you can use for this.With the advancement in the digital camera technology, the use of high
#Dmesh triangulation download
Also, most newer mobile phones these days have BLE, so maybe you can write an app people can download instead of creating custom tracking nodes. So a mesh network is not needed per se, but it does mean more beacons may be required to achieve the accuracy that you need. Instead, position is determined by detecting that we are close to a certain beacon (under a certain RSSI threshold). Note: even with BLE, it's not really possible to accurately triangulate (or trilaterate) position. You will still need a real BLE module to determine proximity to the beacons, such as those based on that NRF51822. It can be hacked to transmit BLE beacons: So you can probably use a bunch of these as cheap stationary beacons to mark positions around the hall, using the custom data field described in the link above. Now, the NRF24L01 shares a lot in common with the NRF51822.
#Dmesh triangulation Bluetooth
What you really want are Bluetooth LE (Bluetooth Smart) modules, which is what NRF51822 boards are. Hence, how can I go about doing such triangulation? A deeper search seems to bring up an odd reference to a certain nRF51822, which upon further searching does not seem to support meshing (or at least have a library for it) and is not as popular (and thus inexpensive) as the 24L01s. Going down the rabbit hole, an obscure Hackaday article claims it can be done though limited to the NRF24L01's inability to support RSSI. Problem is, it does not seem to have any indication in the RF24 (mesh) library that I can do so. Using the NRF24L01s will also be advantageous as I can also have walkie-talkie-bitrate audio streaming in-and-out at the same time, which is something extra I am thinking of adding in for something else, rendering them infinitely more useful.
#Dmesh triangulation portable
Theoretically, I should be able to track in realtime the node movements and translate them into coordinates to display on a portable base station. There will be stationary nodes to facilitate the meshing network, hypothetically around a large ballroom/exhibition hall, and have free-moving tracking nodes within the mesh network borders. How can I implement a preferably Arduino-based NRF24L01 (or any low-cost alternatives) mesh network with node triangulation? I would like to setup a mesh network based on low-cost Arduinos + NRF24L01 (more specifically, the ones with the SMA antennas for longer range).
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