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Pregled bibliografske jedinice broj: 1221915

A Multiresolution Approach for Large Real-World Camera Placement Optimization Problems


Puligandla, V. Anirudh; Lončarić, Sven
A Multiresolution Approach for Large Real-World Camera Placement Optimization Problems // IEEE Access, 10 (2022), 61601-61616 doi:10.1109/access.2022.3176817 (međunarodna recenzija, članak, znanstveni)


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Naslov
A Multiresolution Approach for Large Real-World Camera Placement Optimization Problems

Autori
Puligandla, V. Anirudh ; Lončarić, Sven

Izvornik
IEEE Access (2169-3536) 10 (2022); 61601-61616

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Image decomposition, integer linear programming, heuristic algorithms, pareto optimization

Sažetak
There have been numerous attempts at solving the optimal camera placement problem across multiple applications. Exact linear programming-based, as well as, heuristic combinatorial optimization methods were shown to be successful in providing optimal or near- optimal solutions to this problem. Working over a discrete space model is the general practice when solving the camera placement problem. However, discretized environments often limit the methods’ usage only to small-scale datasets due to resource and time constraints that grow exponentially with the number of 3D points collected from the discrete space. We propose a multi-resolution approach that enables the usage of existing optimization algorithms on large real-world problems modelled using high resolution 3D grids. Our method works by grouping together the given discrete set of possible camera locations into clusters of points, multiple times, resulting in multiple resolution levels. Camera placement optimization is repeated for all resolution levels while propagating the optimized solution from low to high resolutions. Our experiments on both simulated and real data with grids of varying sizes show that using our multi-resolution approach, existing camera placement optimization methods can be used even on high resolution grids consisting of hundreds of thousands of points. Our results also show that the strategy of grouping points together by exploiting underlying 3D geometry to optimize camera poses is not only significantly faster than optimizing on the entire set of samples but, it also provides better camera coverage.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Sven Lončarić (autor)

Poveznice na cjeloviti tekst rada:

doi ieeexplore.ieee.org

Citiraj ovu publikaciju:

Puligandla, V. Anirudh; Lončarić, Sven
A Multiresolution Approach for Large Real-World Camera Placement Optimization Problems // IEEE Access, 10 (2022), 61601-61616 doi:10.1109/access.2022.3176817 (međunarodna recenzija, članak, znanstveni)
Puligandla, V. & Lončarić, S. (2022) A Multiresolution Approach for Large Real-World Camera Placement Optimization Problems. IEEE Access, 10, 61601-61616 doi:10.1109/access.2022.3176817.
@article{article, author = {Puligandla, V. Anirudh and Lon\v{c}ari\'{c}, Sven}, year = {2022}, pages = {61601-61616}, DOI = {10.1109/access.2022.3176817}, keywords = {Image decomposition, integer linear programming, heuristic algorithms, pareto optimization}, journal = {IEEE Access}, doi = {10.1109/access.2022.3176817}, volume = {10}, issn = {2169-3536}, title = {A Multiresolution Approach for Large Real-World Camera Placement Optimization Problems}, keyword = {Image decomposition, integer linear programming, heuristic algorithms, pareto optimization} }
@article{article, author = {Puligandla, V. Anirudh and Lon\v{c}ari\'{c}, Sven}, year = {2022}, pages = {61601-61616}, DOI = {10.1109/access.2022.3176817}, keywords = {Image decomposition, integer linear programming, heuristic algorithms, pareto optimization}, journal = {IEEE Access}, doi = {10.1109/access.2022.3176817}, volume = {10}, issn = {2169-3536}, title = {A Multiresolution Approach for Large Real-World Camera Placement Optimization Problems}, keyword = {Image decomposition, integer linear programming, heuristic algorithms, pareto optimization} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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