Optimal camera placement for accurate reconstruction

Olague, Gustavo; Mohr, Roger

doi:10.1016/s0031-3203(01)00076-0

Cited by 140 publications

(97 citation statements)

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“…Bu yerleşim, deneme testlerinde aralıkları bilinen sabit ve değişken ölçümleri en iyi şekilde belirleyen açılardır. [35,36] Ek olarak, kameralar aşağı doğru yaklaşık 15 derecelik açı ile ayarlandı. [37,38] Video kayıtları için iki adet; 1/3 SONY Super HAD CCD sensöre sahip, 25 IR ledli gece görüş kamerası (BL-655D) kullanıldı.…”

Section: Gereç Ve Yöntemlerunclassified

Effect of upper extremity swing restrain on walking energy consumption and balance

Erdoğan¹

2016

Turk J Phys Med Rehab

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Cite this article as:Erdoğan AT, Dal U, Maraşlıgil B, Beydağı H. Effect of upper extremity swing restrain on walking energy consumption and balance. Turk J Phys Med Rehab 2016;62(4):329-36. ÖZAmaç: Bu çalışmada, kol salınımı kısıtlanmasının tercih edilen yürüme hızı, yürüme sırasında harcanan oksijen miktarı ve vücut kütle merkezi dikey yer değişimi üzerine etkileri araştırıldı. Gereç ve yöntemler:Çalışmaya Şubat 2011 -Nisan 2011 tarihleri arasında yaşları 18-30 yıl arasında değişen 52 sağlıklı erkek gönüllü katıldı ve beş farklı yürüme modeli kullanıldı. Her yürüme modeli için bireylerin zeminde tercih edilen yürüme hızları belirlendi. Bireyler bu hız ile koşu bandında yedi dakika yürütülerek oksijen tüketimleri kaydedildi. Birinci sakral vertebraya işaretleyici yerleştirildi ve iki kızıl ötesi kamera ile yürüme sırasında vücut kütle merkezi dikey yer değişimini belirlemek için kayıt yapıldı. Sonuç: Kol salınımının dengeyi sağlamada yardımcı olduğu, ancak, her iki kol salınımının kısıtlandığı durumlarda biyomekanik sistemlerin bu değişikliği kompanse edemediği için vücut kütle merkezi dikey yer değişimini ve yürümenin oksijen maliyetini artırdığı kanısındayız. Denge sorunu yaşayan bireylerde günlük kazaların önlemesi konusunda bulgularımızın yardımcı olabileceğini düşünmekteyiz.Anahtar sözcükler: Denge; yürüme; oksijen tüketimi; hız; üst ekstremite. ABSTRACTObjectives: This study aims to investigate the effects of arm swing restrain on preferred walking speed, amount of oxygen spent during walking and vertical displacement of the center of mass. Materials and methods:Between February 2011 and April 2011, a total of 52 healthy male volunteers, in the age range of 18 to 30, participated in the study and five different walking models were used. Individuals' preferred walking speeds on the ground were determined for each model. Their oxygen expenditures were recorded while individuals walked on the treadmill at this speed for seven minutes. We placed a marker on the first sacral vertebrae and used two infrared cameras to determine the changes in vertical displacement of the center of mass during walking. Results:We found a significant difference (F(3.734, 204) = 5.606, p<0.05) between normal (0.158±0.021 mL/kg/m) and at side restraint (0.166±022 mL/kg/m) and at front restraint (0.166±023 mL/kg/m) models in oxygen cost. We also found a significant difference (F(3.461, 204) = 5.144, p<0.05) between normal (3.81±0.94 cm) and at side restraint (4.36±1.05 cm) and at front restraint (4.25±0.93 cm) models in terms of vertical displacement of the center of mass. Preferred walking speed in the normal model (5.06±0.62 km/hr) was significantly higher (F(3.387, 204) = 10.433, p<0.05) than other models (at right restraint; 4.93±0.65 km/hr, at left restraint; 4.92±0.62 km/hr, at side restraint; 4.88±0.61 km/hr, and at front restraint; 4.88±0.56 km/hr). Conclusion:We are of the opinion that arm swing helps providing balance but in the situation of both arm restrain, since biomechanical systems cannot compensate this modification,...

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Section: Gereç Ve Yöntemlerunclassified

Effect of upper extremity swing restrain on walking energy consumption and balance

Erdoğan¹

2016

Turk J Phys Med Rehab

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“…Simple optical cameras are used because they are easily accessible, every person usually has one in the form of a smartphone. We use the widely known pinhole camera model as in [13,5]. Some publications do not mention but implicitly they also use this model.…”

Section: Camera Modelmentioning

confidence: 99%

“…In real world applications these and other constraints are present. In [13,5] the eigenvalue based measure, while in [12,3,11] the trace based one is used. In the following sections all three matrix norms are used, other norms could also be applied.…”

Section: Definition 2 the Localization Accuracy Can Be Defined By Vamentioning

confidence: 99%

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Camera Placement Optimization in Object Localization Systems

et al. 2015

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This paper focuses on the placement of cameras in order to achieve the highest possible localization accuracy with a multi-camera system. The cameras have redundant fields of view. They have to be placed according to some natural constraints but user defined constraints are allowed as well. A camera model is described and the components causing the localization errors are identified. Some localization accuracy measures are defined for any number of cameras. The multi-camera placement is analytically formulated using the expanded measures for multiple cameras. An example of placing two cameras is shown and the generalizations into higher dimensional parameter spaces are examined. There are publications where camera placement algorithms are formulated or compared. We make an attempt to examine the analytical solution of this problem in case of different objective functions.

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“…Many researchers have been performed in this area to prove the results close range photogrammetry procedure. Olague and Mohr (2002) investigated on the problem of where to place the cameras in order to obtain a minimal error in the 3D measurements. He posed the problem in terms of an optimization design and a global optimization process to minimize this criterion.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Close Range Photogrammetry Network Design Applying Fuzzy Computation

Aminia

2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Measuring object 3D coordinates with optimum accuracy is one of the most important issues in close range photogrammetry. In this context, network design plays an important role in determination of optimum position of imaging stations. This is, however, not a trivial task due to various geometric and radiometric constraints affecting the quality of the measurement network. As a result, most camera stations in the network are defined on a try and error basis based on the user's experience and generic network concept. In this paper, we propose a post-processing task to investigate the quality of camera positions right after image capturing to achieve the best result. To do this, a new fuzzy reasoning approach is adopted, in which the constraints affecting the network design are all modeled. As a result, the position of all camera locations is defined based on fuzzy rules and inappropriate stations are determined. The experiments carried out show that after determination and elimination of the inappropriate images using the proposed fuzzy reasoning system, the accuracy of measurements is improved and enhanced about 17% for the latter network.

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Optimal camera placement for accurate reconstruction

Cited by 140 publications

References 14 publications

Effect of upper extremity swing restrain on walking energy consumption and balance

Effect of upper extremity swing restrain on walking energy consumption and balance

Camera Placement Optimization in Object Localization Systems

Optimization of Close Range Photogrammetry Network Design Applying Fuzzy Computation

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