Three-Dimensional Information Acquisition Using a Compound Imaging System

Horisaki, Ryoichi; Irie, Satoru; Ogura, Yusuke; Tanida, Jun

doi:10.1007/s10043-007-0347-z

Cited by 61 publications

(35 citation statements)

References 6 publications

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“…2. In one of the coded integrations inspired by [6], an object is sheared by an optical element, and the sheared optical signal is integrated on to a detector array. In the shear-transformation, each axial plane in an object is shifted along the x axis as shown in Fig.…”

Section: Continuous Modelmentioning

confidence: 99%

“…2(a). In [6], the shift corresponds to a parallax. In another coded integration inspired by [5], an object is multiplied with a weight distribution, and the weighted optical signal is integrated on to a detector array as shown in Fig.…”

Section: Continuous Modelmentioning

confidence: 99%

“…We assume that x = v /N u and N x = N v N u , which are both typical assumptions in TOMBO imaging [4,5,6,14]. Thus, the numbers of elements in the measurement data and the object are N g = N x and N f = N x N z .…”

Section: System Matrixmentioning

confidence: 99%

“…Different lenslets may create different encodings. For example, time detection based on the encoding concept has been proposed [5], and range detection in [6] can be considered as a system based on the concept. These compact systems reconstruct a three-dimensional object from a two-dimensional measurement where the size is the same as that of an axial plane of the object.…”

Section: Introductionmentioning

confidence: 99%

“…In the proposed system, an object is acquired with coding and multiplexing in a two-dimensional snapshot. In particular, the coding schemes in [5,6] are extended for multi-dimensional data acquisition of various objects.…”

Section: Introductionmentioning

confidence: 99%

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Generalized sampling using a compound-eye imaging system for multi-dimensional object acquisition

et al. 2010

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Abstract:In this paper, we propose generalized sampling approaches for measuring a multi-dimensional object using a compact compound-eye imaging system called thin observation module by bound optics (TOMBO). This paper shows the proposed system model, physical examples, and simulations to verify TOMBO imaging using generalized sampling. In the system, an object is sheared and multiplied by a weight distribution with physical coding, and the coded optical signal is integrated on to a detector array. A numerical estimation algorithm employing a sparsity constraint is used for object reconstruction.

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Section: Continuous Modelmentioning

confidence: 99%

Section: Continuous Modelmentioning

confidence: 99%

Section: System Matrixmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Generalized sampling using a compound-eye imaging system for multi-dimensional object acquisition

et al. 2010

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Bioinspired Artificial Compound Eyes: Characteristic, Fabrication, and Application

Yang

Bian

et al. 2021

Adv Materials Technologies

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the visual nerve perception. This type of eyes has ultrahigh resolution, which can get clear image information. Inspired by this imaging system, people have put significant efforts over a long time for development of camera-related optical system for various applications, such as endoscope, digital camera, smartphones, robot eyes, visual implants. [7][8][9][10] Because of the rapid progress in micro/nano technologies, the artificial eyes structures can achieve extremely high resolution that is close to or even exceeding the human eye. However, the low field of view (FOV) (the maximum value is only 90°) hinders its wider applications. To solve this problem, multiple cameras need to be put together to work, which not only increases the cost, but also makes the entire optical system cumbersome. Hence, an optical device with portable, integrated, and large FOV features is highly desired.Different from the single-lens eyes, the insect eyes adopt another visual system. Figure 1b shows a honeybee's apposition compound eye, which has thousands of ommatidia arranged on a curved surface so that each ommatidium points in different directions. [11] Each unit consists of a lens, a crystalline cone, and a rhabdom. The focused light signal is transmitted to the photosensitive area by the crystalline cone, and then visual perception is generated after passing through the rhabdom. Each of the ommatidium can image which enables the insects to obtain sufficient information in a complex environment and exhibits the characteristics of large FOV, low aberration, and high sensitivity to moving objects. [12] In addition to the honeybee's compound eyes, the eyes of other insects in nature, such as mosquito eye, [13] fly's eye, [14] moth's eye, [15] and dragonfly's eye [16] also have similar structure and have attracted much attention due to the deep research on bionics. [4,9,12,[17][18][19][20][21] The characteristics of the compound eyes in nature and the advanced micro/nano-processing technologies provide great technical support and inspiration for the researchers to prepare artificial compound eyes (ACEs) with close-packed microlens arrays (MLAs) as optical imaging elements. [22][23][24][25][26][27][28][29][30] Such MLAs compose of microscale lenses with the same surface feature and the regular arrangements are important microoptical components. The great light field (LF) regulation and focusing abilities of MLAs have made it essentially in various applications such as imaging, [31][32][33][34][35][36][37][38][39] dynamic target capture, [40][41][42] beaming homogenizing, [43][44][45][46] sensing, [47][48][49] light extractionThe natural compound eyes provide great inspiration for design of advanced imaging devices. Artificial compound eyes (ACEs) with close-packed microlens arrays (MLAs) have attracted enormous research interests due to their remarkable advantages in modern micro-optical systems, such as miniaturization, high integration, tunable focal length, large field of view, and moving objects tracking. Over a decade of intens...

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