Tag Archives: Point Clouds

SAVE THE DATE! KEYNOTE TALK YEAR 2022.

SAVE THE DATE – YEAR 2022! 

Another keynote talk at an international conference early next year. And this time physically at Barcelona, Spain.

Keynote Title:

Big Data Paradigm – Handling 3D Point Clouds in 3D City Modelling Applications

Save the date and see you there! Muchisimas gracias. 

#keynotespeaker #keynote #keynotespeaking #keynotes #keynotespeakers #keynote2022 #keynotepresentation #keynotespeech #keynoteaddress #3dcitymodeling #pointclouds #3dgis #3dapplications #bigdata #bigdataanalytics #bigdatasecurity #bigdatanews #BigDataAnalytic #bigdatatrainingcourses #bigdatamanagement #BigdataCenter #bigdataanalyst

PAPER 2 – INTERNATIONAL CONFERENCE ON SMART CITY AND APPLICATIONS 2020 (SCA2020)

INTERNATIONAL CONFERENCE ON SMART CITY AND APPLICATIONS 2020 (SCA2020)

Paper #2

Our second research works published. This is our joint research collaboration and funded by local SME industry. This research is preliminary, still on-going and definitely more to come!

Here you go!!!

Title: EXPLORATORY STUDY OF 3D POINT CLOUD TRIANGULATION FOR SMART CITY MODELLING AND VISUALIZATION
S. A. M. Ariff, S. Azri, U. Ujang, A. A. M. Nasir, N. Ahmad Fuad, and H. Karim
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-4/W3-2020, 71–79, https://doi.org/10.5194/isprs-archives-XLIV-4-W3-2020-71-2020, 2020
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIV-4-W3-2020/71/2020/

#researcharticle #academicresearch #highereducation #pointclouds #smartcity #modelling #3dgis

Joint Research Publication with ECapture Research and Development SL, an European International Industry

INTERNATIONAL CONFERENCE ON SMART CITY AND APPLICATIONS 2020 (SCA2020)

Our recent publication with a fast growing industry, eCapture3D from Europe. Joint research with Miguel González Cuétara together with Guillermo De Miguel Retortillo. A bit hard to execute our research plans during this challenging 2020 year. But it doesn’t means that we should halt.

Here you go!!!

Title: 3D GEOMETRIC EXTRACTION USING SEGMENTATION FOR ASSET MANAGEMENT
Volume XLIV-4/W3-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-4/W3-2020, 61–69, 2020
https://doi.org/10.5194/isprs-archives-XLIV-4-W3-2020-61-2020

*we recommend to try eCapture3D excellent product here: https://ecapture3d.com/eyescloud3d/

#3dgis #3dsegmentation #3dassetmanagement #pointclouds #lidar #smartcity #highereducation #researchwithindustry #academicresearch #assetmanagement

3D Mesh and Point Cloud Generation

I’m amazed with the achievements from eCapture Research and Development SL. Today I’ve generated point clouds and 3D mesh from series of 49 photos taken via mobile vehicle. I’ve tested two products.

The first product, I call it as product A, it requires users with prior knowledge about sensor size, camera focal length, coordinate projection, etc. Experience in handling spatial data is an advantage. Took almost 30 minutes processing time and expensive computational cost (desktop based).

On the other hand, by using eyescloud3d I’ve managed to generate the model within 15 minutes (output as shown). And most importantly, no prior background knowledge needed.

Congratulations to Guillermo, Miguel and the team for your R&D. Fascinating.

Our lab at Universiti Teknologi Malaysia (UTM) have 5 years MoU research collaboration with eCapture Research and Development SL. We have the privilege to conduct scientific research using their products. Students are eligible to utilize it, feel free to let me know if you’re interested.

The accuracy? You may read our following international publications:

1. DEVELOPMENT OF 3D CITY MODEL USING VIDEOGRAMMETRY TECHNIQUE
(https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W16/221/2019/isprs-archives-XLII-4-W16-221-2019.pdf)

2. 3D MODEL FOR INDOOR SPACES USING DEPTH SENSOR.
(https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W16/471/2019/isprs-archives-XLII-4-W16-471-2019.pdf)

3. COMPARATIVE ANALYSIS OF VARIOUS CAMERA INPUT FOR VIDEOGRAMMETRY
(https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W16/63/2019/isprs-archives-XLII-4-W16-63-2019.pdf)