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3D Rekonstruksi Bangunan Menggunakan Gambar
Panorama Sebagai Upaya Untuk Mitigasi Bencana
Muhammad Irsyadi Firdaus1 & Jiann-Yeou Rau2
1Master Student and 2Professor
Department of Geomatics
National Cheng Kung University, Taiwan (R.O.C)
A Presentation at
Indonesia Scholar Scientific Summit (I3S 2018)
Tunghai University, Taichung, Taiwan
November 17, 2018
1
2
3
Pendahuluan
Metodologi
Hasil
Kesimpulan
Outline
Latar belakang
Permasalahan
Studi kasus
Peralatan
Data dan alur kerja
Aerial Triangulation
Dense Point Cloud
Evaluasi geo-referencing pada gambar
Penilaian akurasi digitasi sudut
Tujuan
12
Pendahuluan
01
Latar belakang
02
Permasalahan
03
Tujuan
3
• Gempa Bumi
• Tsunami
• Banjir
• Longsor
Pendahuluan
01
Latar belakang
02
Permasalahan
03
Tujuan
Spherical image of an indoor
Stitching Spherical imagery is created by
digitally stitching multiple images
taken from the same position with
different orientations.
21
4
01
Latar belakang
02
Permasalahan
03
Tujuan
Frame-based camera
1. Smaller FOV
2. Slower data acquisition
3. High costs
1. Time
2. Human resource
Purpose : to reconstruct 3D
indoor/outdoor environment
Spherical camera
1. 720 degrees FOV
2. Rapid data acquisition
3. Low costs
1. Time
2. Human resourceSpecific Object
Indoor environment
outdoor environment
5
Pendahuluan
01
Latar belakang
02
Permasalahan
03
Tujuan
6
Pendahuluan
• Membangun 3D rekonstruksi sebuah bangunan
dengan menggunakan gambar panorama
• Mengevaluasi ketelitian 3D rekonstruksi
Metodologi
01
Studi Kasus
02
Peralatan
03
Data dan Alur Kerja
• Lokasi di gedung geomatika, NCKU,
Taiwan.
• Total gambar panorama untuk
indoor adalah 134 dan outdoor
adalah 243.
7
Metodologi
01
Studi Kasus
02
Peralatan
03
Data dan Alur Kerja
Software
Tabel 1.Garmin VIRB 360
8
Metodologi
01
Studi Kasus
02
Peralatan
03
Data dan Alur Kerja
Panorama di dalam bangunan
Panorama di luar bangunan
9
Hasil
01
Aerial Triangulation & Dense Point Cloud
02
Evaluasi geo-referencing pada gambar
03
Penilaian akurasi digitasi sudut
Point cloud kasar dengan lokasi kamera
pada model luar bangunan
Point cloud kasar dengan lokasi kamera pada
model dalam bangunan
10
Hasil
01
Aerial Triangulation & Dense Point Cloud
02
Evaluasi geo-referencing pada gambar
03
Penilaian akurasi digitasi sudut
Figure 4. Point cloud padat di luar bangunan Figure 5. Point cloud kasar dengan lokasi
kamera pada model dalam bangunan
12
GlassHomogeneous Surface
Glass
• Glass refraction
• Unbalance
illumination
Glass
Stitching Images
Hasil
01
Aerial Triangulation & Dense Point Cloud
02
Evaluasi geo-referencing pada gambar
03
Penilaian akurasi digitasi sudut
12
Hasil
01
Aerial Triangulation & Dense Point Cloud
02
Evaluasi geo-referencing pada gambar
03
Penilaian akurasi digitasi sudut
13Referensi titik
Referensi skala garis
Hasil
01
Aerial Triangulation & Dense Point Cloud
02
Evaluasi geo-referencing pada gambar
03
14
Gambar 12. Digitasi sudut pada 2D luar bangunan
setelah perbaikan
Tabel 3
Akurasi Digitasi Sudut di
Luar Bangunan
Penilaian akurasi digitasi sudut
Hasil
01
Aerial Triangulation & Dense Point Cloud
02
Evaluation of the image geo-referencing
03
Penilaian akurasi digitasi sudut
15
Gambar 13. Digitasi sudut pada 2D dalam bangunan
Tabel 4
Akurasi Digitasi Sudut di Dalam Bangunan
3D Point Cloud di dalam bangunan dan luar bangunan
Hasil
16
Model CAD di dalam bangunan dan luar bangunan
Hasil
17
Gambar 14. Model CAD luar bangunan
Gambar 15. Model CAD dalam bangunan
Model CAD di dalam bangunan dan luar bangunan
Hasil
18
Kesimpulan
Akurasi kedetilan geometri
pada point cloud sangat
rendah
2
3
4
1
3D dari gambar panorama masih bisa digunakan
ke banyak aplikasi seperti pada bidang industri,
mitigasi bencana dan atau kesehatan
Akurasi aerial triangulation pada
model di luar ruangan mempunyai
hasil yang lebih baik dari pada
model di dalam ruangan
Akurasi digitasi sudut pada model didalam
ruangan mempunyai hasil yang lebih baik dari
pada model di luar ruangan
19
Terimakasih atas perhatiannya

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3D REKONSTRUKSI BANGUNAN