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Congying Guan - One of the best experts on this subject based on the ideXlab platform.

  • Feature-based human model for digital apparel design
    IEEE Transactions on Automation Science and Engineering, 2014
    Co-Authors: Shuxia Wang, Shengfeng Qin, Congying Guan
    Abstract:

    Three-dimensional (3D) body scanning Technology opens opportunities for virtual try-on and automatic made-to-measure apparel design. This paper proposes a new feature-based parametric method for modeling human body shape from scanned point clouds of a 3D body scanner [TC]2. The human body model consists of two layers: the skeleton and the cross sections of each body part. First, a simple skeleton model from the body scanner [TC]2 system has been improved by adding and adjusting the position of joints in order to better address some fit issues related to body shape changes such as spinal bending. Second, an automatic approach to extracting semantic features for cross sections has been developed based on the body hierarchy. For each cross section, it is described by a set of key points which can be fit with a closed cardinal spline. According to the point distribution in point clouds, an extraction method of key points on cross sections has been studied and developed. Third, this paper presents an interpolation approach to fitting the key points on a cross section to a cardinal spline, in which different tension parameters are tested and optimized to represent simple deformations of body shape. Finally, a connection approach of body parts is proposed by sharing a boundary curve. The proposed method has been tested with the developed virtual human model (VHM) system which is robust and easier to use. The model can also be imported in a CAD environment for other applications.

  • parametric human body model for digital apparel design
    Applied Mechanics and Materials, 2013
    Co-Authors: Shuxia Wang, Shengfeng Qin, Congying Guan
    Abstract:

    With the advance in 3D body scanning Technology, it opens opportunities for virtual try-on and automatic made-to-measure in apparel products domain. This paper proposed a novel feature-based parametric method of human body shape from the cloud points of 3D body scanner [T2. Firstly, we improved the skeleton construction through adding and adjusting the position of joints. Secondly, automatic extraction approach of semantic feature cross-sections is developed based on the hierarchy. According to the unique distribution of cloud points of each cross-section of each body part, the extraction method of key points on the cross-section is described. Thirdly, we presented an interpolation approach of key points which fit cardinal spline to cross-section for each body part, in which tension parameter is used to represent the simple deformation of body shape. Finally, a connection approach of body part is proposed by sharing a boundary curve. The proposed method has been tested with our virtual human model (VHM) system which is robust and easier to use. The process generally requires about five minutes for generating a full body model that represents the body shape captured by 3D body scanner. The model can be imported in a CAD environment for application to a wide variety of ergonomic analyses.

Roger Segelken - One of the best experts on this subject based on the ideXlab platform.

  • body scans getting the best fit and function susan ashdown s body scanning Technology is positioning the industry to design better fitting apparel for larger consumers and more functional clothing for police officers pesticide applicators and even astronauts
    Human Ecology, 2005
    Co-Authors: Roger Segelken
    Abstract:

    In the apparel industry, a business where the bottom line depends on knowing the size of the human body, Associate Professor of Textiles and Apparel Susan Ashdown has a point--300,000 data points, actually--to make. [ILLUSTRATION OMITTED] "Anthropometric 3-D body scans take 12 seconds and produce about 300,000 bits of information that define our size and shape," Ashdown says of a futuristic Technology her laboratory helps to advance. "Scans of hundreds of people of various sizes, shapes, ages, and ethnicities increase the number and accuracy of measurements used in size prediction," adds Ashdown, the co-leader (along with Suzanne Loker, the J. Thomas Clark Professor of Entrepreneurship, also in the Department of Textiles and Apparel) of the Cornell Body Scan Research Group. "A process that combines objective fit information with fit preference can be industry's most realistic way of satisfying customers." America's current obesity "epidemic" is posing new challenges and opportunities for the apparel industry, Ashdown observes. "Plus-size clothing has been recognized as a new market opportunity because there has been a lack of well-fitted, attractive clothing for larger women. The goal of the industry is to satisfy the needs of all women," she says, "but this is easier with ready-to-wear sizing when there is not such a wide range of variation among people in the population." Some manufacturers resort to flattery, with an unstated policy of "vanity sizing" and adding extra material to make women think they still fit into a fondly remembered, smaller dress size. (The approach also works on men with the "hidden inch" waistband that allows growing gentlemen to say, "I still wear a 38 waist.") Ashdown knows why vanity sizing works so well: "Many women find their dress size to be a powerful measure of self esteem," she says. "They feel more comfortable with the size label they are used to, irregardless of the actual measurements of the garment." The resulting confusion in size designations could be resolved by labeling women's clothing with actual body dimensions, as is done with blue jean sizes labeled with waist and inseam measurements, according to Ashdown. "Apparel companies that believe their sizing gives them a competitive advantage maintain that women do not want to see their body measurements on a hang tag. But surveys show that many women would prefer this to the current guessing game about sizes." Will the time ever come when the traditional system of women's dress sizes will be meaningless and the more detailed specifications from a body scan will be confidential information between the consumer and her dressmaker? Ashdown predicts a mix of different sizing strategies in the future. When custom apparel is manufactured from scan data (such as the men's suits currently made by Brooks Brothers), then ready-to-wear sizing designations will become irrelevant, she predicts. …

Shuxia Wang - One of the best experts on this subject based on the ideXlab platform.

  • Feature-based human model for digital apparel design
    IEEE Transactions on Automation Science and Engineering, 2014
    Co-Authors: Shuxia Wang, Shengfeng Qin, Congying Guan
    Abstract:

    Three-dimensional (3D) body scanning Technology opens opportunities for virtual try-on and automatic made-to-measure apparel design. This paper proposes a new feature-based parametric method for modeling human body shape from scanned point clouds of a 3D body scanner [TC]2. The human body model consists of two layers: the skeleton and the cross sections of each body part. First, a simple skeleton model from the body scanner [TC]2 system has been improved by adding and adjusting the position of joints in order to better address some fit issues related to body shape changes such as spinal bending. Second, an automatic approach to extracting semantic features for cross sections has been developed based on the body hierarchy. For each cross section, it is described by a set of key points which can be fit with a closed cardinal spline. According to the point distribution in point clouds, an extraction method of key points on cross sections has been studied and developed. Third, this paper presents an interpolation approach to fitting the key points on a cross section to a cardinal spline, in which different tension parameters are tested and optimized to represent simple deformations of body shape. Finally, a connection approach of body parts is proposed by sharing a boundary curve. The proposed method has been tested with the developed virtual human model (VHM) system which is robust and easier to use. The model can also be imported in a CAD environment for other applications.

  • parametric human body model for digital apparel design
    Applied Mechanics and Materials, 2013
    Co-Authors: Shuxia Wang, Shengfeng Qin, Congying Guan
    Abstract:

    With the advance in 3D body scanning Technology, it opens opportunities for virtual try-on and automatic made-to-measure in apparel products domain. This paper proposed a novel feature-based parametric method of human body shape from the cloud points of 3D body scanner [T2. Firstly, we improved the skeleton construction through adding and adjusting the position of joints. Secondly, automatic extraction approach of semantic feature cross-sections is developed based on the hierarchy. According to the unique distribution of cloud points of each cross-section of each body part, the extraction method of key points on the cross-section is described. Thirdly, we presented an interpolation approach of key points which fit cardinal spline to cross-section for each body part, in which tension parameter is used to represent the simple deformation of body shape. Finally, a connection approach of body part is proposed by sharing a boundary curve. The proposed method has been tested with our virtual human model (VHM) system which is robust and easier to use. The process generally requires about five minutes for generating a full body model that represents the body shape captured by 3D body scanner. The model can be imported in a CAD environment for application to a wide variety of ergonomic analyses.

Shengfeng Qin - One of the best experts on this subject based on the ideXlab platform.

  • Feature-based human model for digital apparel design
    IEEE Transactions on Automation Science and Engineering, 2014
    Co-Authors: Shuxia Wang, Shengfeng Qin, Congying Guan
    Abstract:

    Three-dimensional (3D) body scanning Technology opens opportunities for virtual try-on and automatic made-to-measure apparel design. This paper proposes a new feature-based parametric method for modeling human body shape from scanned point clouds of a 3D body scanner [TC]2. The human body model consists of two layers: the skeleton and the cross sections of each body part. First, a simple skeleton model from the body scanner [TC]2 system has been improved by adding and adjusting the position of joints in order to better address some fit issues related to body shape changes such as spinal bending. Second, an automatic approach to extracting semantic features for cross sections has been developed based on the body hierarchy. For each cross section, it is described by a set of key points which can be fit with a closed cardinal spline. According to the point distribution in point clouds, an extraction method of key points on cross sections has been studied and developed. Third, this paper presents an interpolation approach to fitting the key points on a cross section to a cardinal spline, in which different tension parameters are tested and optimized to represent simple deformations of body shape. Finally, a connection approach of body parts is proposed by sharing a boundary curve. The proposed method has been tested with the developed virtual human model (VHM) system which is robust and easier to use. The model can also be imported in a CAD environment for other applications.

  • parametric human body model for digital apparel design
    Applied Mechanics and Materials, 2013
    Co-Authors: Shuxia Wang, Shengfeng Qin, Congying Guan
    Abstract:

    With the advance in 3D body scanning Technology, it opens opportunities for virtual try-on and automatic made-to-measure in apparel products domain. This paper proposed a novel feature-based parametric method of human body shape from the cloud points of 3D body scanner [T2. Firstly, we improved the skeleton construction through adding and adjusting the position of joints. Secondly, automatic extraction approach of semantic feature cross-sections is developed based on the hierarchy. According to the unique distribution of cloud points of each cross-section of each body part, the extraction method of key points on the cross-section is described. Thirdly, we presented an interpolation approach of key points which fit cardinal spline to cross-section for each body part, in which tension parameter is used to represent the simple deformation of body shape. Finally, a connection approach of body part is proposed by sharing a boundary curve. The proposed method has been tested with our virtual human model (VHM) system which is robust and easier to use. The process generally requires about five minutes for generating a full body model that represents the body shape captured by 3D body scanner. The model can be imported in a CAD environment for application to a wide variety of ergonomic analyses.

Nicola Dapuzzo - One of the best experts on this subject based on the ideXlab platform.

  • 3d body scanning Technology for fashion and apparel industry
    electronic imaging, 2007
    Co-Authors: Nicola Dapuzzo
    Abstract:

    This paper presents an overview of 3D body scanning technologies with applications to the fashion and apparel industry. Complete systems for the digitization of the human body exist since more than fifteen years. One of the main users of this Technology with application in the textile field was the military industry. In fact, body scanning Technology is being successfully employed since many years in military bases for a fast selection of the correct size of uniforms for the entire staff. Complete solutions were especially developed for this field of application. Many different research projects were issued for the exploitation of the same Technology in the commercial field. Experiments were performed and start-up projects are to time running in different parts of the world by installing full body scanning systems in various locations such as shopping malls, boutiques or dedicated scanning centers. Everything is actually ready to be exploited and all the required hardware, software and solutions are available: full body scanning systems, software for the automatic and reliable extraction of body measurements, e-kiosk and web solutions for the presentation of garments, high-end and low-end virtual-try-on systems. However, complete solutions in this area have still not yet found the expected commercial success. Today, with the on-going large cost reduction given by the appearance of new competitors, methods for digitization of the human body becomes more interesting for the fashion and apparel industry. Therefore, a large expansion of these technologies is expected in the near future. To date, different methods are used commercially for the measurement of the human body. These can be divided into three major distinguished groups: laser-scanning, projection of light patterns, combination modeling and image processing. The different solutions have strengths and weaknesses that profile their suitability for specific applications. This paper gives an overview of their differences and characteristics and expresses clues for the selection of the adequate method. A special interest is given to practical examples of the commercial exploitation of human body digitization with applications to the fashion and apparel industry.