Rapid Material Appearance Acquisition Using Consumer Hardware
A photo-realistic representation of material appearance can be achieved by means of bidirectional texture function (BTF) capturing a material’s appearance for varying illumination, viewing directions, and spatial pixel coordinates. BTF captures many non-local effects in material structure such as in...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2014-10-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/14/10/19785 |
| _version_ | 1828283305270706176 |
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| author | Jiří Filip Radomír Vávra Mikuláš Krupička |
| author_facet | Jiří Filip Radomír Vávra Mikuláš Krupička |
| author_sort | Jiří Filip |
| collection | DOAJ |
| description | A photo-realistic representation of material appearance can be achieved by means of bidirectional texture function (BTF) capturing a material’s appearance for varying illumination, viewing directions, and spatial pixel coordinates. BTF captures many non-local effects in material structure such as inter-reflections, occlusions, shadowing, or scattering. The acquisition of BTF data is usually time and resource-intensive due to the high dimensionality of BTF data. This results in expensive, complex measurement setups and/or excessively long measurement times. We propose an approximate BTF acquisition setup based on a simple, affordable mechanical gantry containing a consumer camera and two LED lights. It captures a very limited subset of material surface images by shooting several video sequences. A psychophysical study comparing captured and reconstructed data with the reference BTFs of seven tested materials revealed that results of our method show a promising visual quality. Speed of the setup has been demonstrated on measurement of human skin and measurement and modeling of a glue dessication time-varying process. As it allows for fast, inexpensive, acquisition of approximate BTFs, this method can be beneficial to visualization applications demanding less accuracy, where BTF utilization has previously been limited. |
| first_indexed | 2024-04-13T08:43:23Z |
| format | Article |
| id | doaj.art-6b70a61cfbab423aac0f31f498dabbe0 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T08:43:23Z |
| publishDate | 2014-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-6b70a61cfbab423aac0f31f498dabbe02022-12-22T02:53:48ZengMDPI AGSensors1424-82202014-10-011410197851980510.3390/s141019785s141019785Rapid Material Appearance Acquisition Using Consumer HardwareJiří Filip0Radomír Vávra1Mikuláš Krupička2Institute of Information Theory and Automation of the ASCR, Prague 182 08 , Czech RepublicInstitute of Information Theory and Automation of the ASCR, Prague 182 08 , Czech RepublicInstitute of Information Theory and Automation of the ASCR, Prague 182 08 , Czech RepublicA photo-realistic representation of material appearance can be achieved by means of bidirectional texture function (BTF) capturing a material’s appearance for varying illumination, viewing directions, and spatial pixel coordinates. BTF captures many non-local effects in material structure such as inter-reflections, occlusions, shadowing, or scattering. The acquisition of BTF data is usually time and resource-intensive due to the high dimensionality of BTF data. This results in expensive, complex measurement setups and/or excessively long measurement times. We propose an approximate BTF acquisition setup based on a simple, affordable mechanical gantry containing a consumer camera and two LED lights. It captures a very limited subset of material surface images by shooting several video sequences. A psychophysical study comparing captured and reconstructed data with the reference BTFs of seven tested materials revealed that results of our method show a promising visual quality. Speed of the setup has been demonstrated on measurement of human skin and measurement and modeling of a glue dessication time-varying process. As it allows for fast, inexpensive, acquisition of approximate BTFs, this method can be beneficial to visualization applications demanding less accuracy, where BTF utilization has previously been limited.http://www.mdpi.com/1424-8220/14/10/19785measurement setupmaterial appearanceBTFABRDFvisual psychophysics |
| spellingShingle | Jiří Filip Radomír Vávra Mikuláš Krupička Rapid Material Appearance Acquisition Using Consumer Hardware Sensors measurement setup material appearance BTF ABRDF visual psychophysics |
| title | Rapid Material Appearance Acquisition Using Consumer Hardware |
| title_full | Rapid Material Appearance Acquisition Using Consumer Hardware |
| title_fullStr | Rapid Material Appearance Acquisition Using Consumer Hardware |
| title_full_unstemmed | Rapid Material Appearance Acquisition Using Consumer Hardware |
| title_short | Rapid Material Appearance Acquisition Using Consumer Hardware |
| title_sort | rapid material appearance acquisition using consumer hardware |
| topic | measurement setup material appearance BTF ABRDF visual psychophysics |
| url | http://www.mdpi.com/1424-8220/14/10/19785 |
| work_keys_str_mv | AT jirifilip rapidmaterialappearanceacquisitionusingconsumerhardware AT radomirvavra rapidmaterialappearanceacquisitionusingconsumerhardware AT mikulaskrupicka rapidmaterialappearanceacquisitionusingconsumerhardware |