The CAESAR project: a 3-D surface anthropometry survey

Robinette, Kathleen M.; Daanen, H.A.M.; Paquet, Éric

doi:10.1109/im.1999.805368

Cited by 189 publications

(172 citation statements)

References 5 publications

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“…However, the approach is robust with respect to relatively small holes that do not alter the global shape of the canonical form. We use a model of the Civilian American and European Anthropometric Resource (CAESAR) database [23] that was acquired using a laser-range scanner and that contains a number of small holes. Figure 7 shows that a globally satisfactory result is obtained for this incomplete model.…”

Section: Discussionmentioning

confidence: 99%

Landmark-free posture invariant human shape correspondence

Wuhrer

Shu

2011

Vis Comput

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We consider the problem of computing accurate point-to-point correspondences among a set of human bodies in varying postures using a landmark-free approach. The approach learns the locations of the anthropometric landmarks present in a database of human models in strongly varying postures and uses this knowledge to automatically predict the locations of these anthropometric landmarks on a newly available scan. The predicted landmarks are then used to compute point-to-point correspondences between a rigged template model and the newly available scan.

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Section: Discussionmentioning

confidence: 99%

Landmark-free posture invariant human shape correspondence

Wuhrer

Shu

2011

Vis Comput

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“…Three-dimensional surface scans were acquired for all CAESAR participants in a standing, seated working, and seated coverage position (resolution of a few mm). The locations of 73 anatomical landmark locations were derived from these scans and recorded for each subject (Robinette, 1999). Nineteen landmarks from the standing posture data were selected for this study (Figure 2).…”

Section: Methodsmentioning

confidence: 99%

Sequestering Size: The Role of Allometry and Gender in Digital Human Modeling

Cerney¹,

Adams²

2004

SAE Technical Paper Series

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Biologists are aware that sexual dimorphism can result from size differences, shape differences, and differences in the relationship between the two (allometry), but the digital human modeling community has not fully incorporated this knowledge into their design procedures. Using landmark-based geometric morphometric methods and data from the CAESAR survey, we demonstrate that sexual dimorphism between adult males and females is the result of size, shape, and allometry differences between the sexes. Human sexual dimorphism is therefore far more complicated than is represented by standard design procedures, implying that using extreme percentile humans in design confounds male and female allometric differences, and will likely not accommodate all individuals.

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“…In our experiments, we use two databases: the CAESAR database [1] and the MPI database [10]. The MPI database contains 520 models of 111 different individuals in up to 35 different postures.…”

Section: Computing Correspondencesmentioning

confidence: 99%

“…However, even when subjects are instructed to maintain a standard posture, there are slight posture variations, especially in the position of the arms. For example, this occurs in the Civilian American and European Surface Anthropometry Resource (CAESAR) database [1].…”

Section: Introductionmentioning

confidence: 99%

Posture-invariant statistical shape analysis using Laplace operator

Wuhrer

Shu

2012

Computers & Graphics

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Statistical shape analysis is a tool that allows to quantify the shape variability of a population of shapes. Traditional tools to perform statistical shape analysis compute variations that reflect both shape and posture changes simultaneously. In many applications, such as ergonomic design applications, we are only interested in shape variations. With traditional tools, it is not straightforward to separate shape and posture variations. To overcome this problem, we propose an approach to perform statistical shape analysis in a posture-invariant way. The approach is based on a local representation that is obtained using the Laplace operator.

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The CAESAR project: a 3-D surface anthropometry survey

Cited by 189 publications

References 5 publications

Landmark-free posture invariant human shape correspondence

Landmark-free posture invariant human shape correspondence

Sequestering Size: The Role of Allometry and Gender in Digital Human Modeling

Posture-invariant statistical shape analysis using Laplace operator

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