Advances on CMOS image sensors

Gouveia, Luiz Carlos; Choubey, Bhaskar

doi:10.1108/sr-11-2015-0189

Cited by 40 publications

(28 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It has been applied in wide range of research including measurements of wrinkles, hyperpigmentation, distribution of skin chromophores, skin firmness, and radiance . With the rapid advancement of digital camera sensors over the last decades, 2D surface imaging became more popular in cosmetic science and dermatology research due to (a) high‐quality signal which can be analyzed in numerous ways, (b) operational convenience, and (c) affordability.…”

Section: Introductionmentioning

confidence: 99%

New image analysis tool for facial pore characterization and assessment

Dissanayake¹,

Miyamoto²,

Purwar³

et al. 2019

Skin Research and Technology

View full text Add to dashboard Cite

Background Visible facial pores are an important cosmetic concern especially among young females. Number of different methodologies is used today to assess facial pores and efficacy of technologies. Main limitations of these methods are, however, (a) moderate correlation with visual perception, (b) characterization is mostly limited to size or number of pores, (c) measurement is limited to a smaller area of face, and (d) operational difficulties. In order to address these limitations, we developed a 2D image analysis tool to assess and characterize visible facial pores. Materials and Methods Two clinical studies were conducted with northeast Asian skin type females. In the first study, 40 subjects age between 20 and 40 with different degree of pore severity were recruited. In the second study, 15 subjects age between 20 and 40 with enlarged pores were recruited to evaluate pore product efficacy. In both studies, full face images were taken using Visia‐CR and assessed by means of the newly developed tool and visual grading. Results A high correlation between visual grading and pore size was obtained (r = 0.86). New methodology was able to differentiate products similar to visual grading. Conclusion Novel pore image analysis method using 2D skin surface imaging with standard photography has been developed and validated. In addition to pore size measurements, we propose this method to be used to measure pore shape, color, and orientation for a comprehensive characterization of facial pores.

show abstract

Section: Introductionmentioning

confidence: 99%

New image analysis tool for facial pore characterization and assessment

Dissanayake¹,

Miyamoto²,

Purwar³

et al. 2019

Skin Research and Technology

View full text Add to dashboard Cite

show abstract

“…Silicon‐based complementary metal‐oxide‐semiconductor (CMOS) image sensors have dominated the imaging devices market [ 25 ] because they have superior features, such as high resolution, low noise, and a high frame rate, which are essential for high‐quality imaging. [ 26 ] For advanced machine vision applications, however, imaging devices require additional capabilities to identify objects by extracting and processing relevant visual information from acquired images. Further, designs for image sensors need to be improved for facile integration with various objects such as wearables or robots.…”

Section: Unconventional Image Sensors For Machine Visionmentioning

confidence: 99%

Unconventional Image‐Sensing and Light‐Emitting Devices for Extended Reality

Park

Seung

Kim

et al. 2021

Adv Funct Materials

View full text Add to dashboard Cite

Extended reality (XR) refers to a space where physical and digital elements coexist and comprises three elements, namely, environment, human, and computer, which interact with each other. Image sensors and displays are the core elements of XR systems because visual information is important for recognizing and judging objects. Recently, new features of image sensors and displays that are useful for developing next‐generation XR systems have been reported. For example, a miniaturized version of image sensors with the superb object detection and recognition capability offers new opportunities for machine vision technology. Furthermore, transparent and deformable displays are the key components of XR systems because they not only provide highly realistic virtual image information but also serve as efficient user interfaces. Herein, the recent progresses in such unconventional image sensors and display technologies are reviewed. First, image sensors with features of wavelength‐selective photodetection for color discrimination, neuromorphic image acquisition for facile pattern recognition, and curved image sensor designs inspired by biological eyes for miniaturization and unconventional imaging performances are discussed. Then, light‐emitting device technologies focusing on devices with transparency and deformable form factors are described. Finally, the review is concluded with a brief summary and a future outlook.

show abstract

“…Autonomous mobile robots navigate in diverse environmental conditions for performing multiple tasks (Murphy and Murphy, 2000;Gouveia and Choubey, 2016;Wang et al, 2016;Yu et al, 2017;Schoettle, 2017). To perform an efficient autonomous navigation of mobile robot, accurate perception of the environment is the foremost requirement.…”

Section: Prior Workmentioning

confidence: 99%

A modified sensor fusion framework for quantifying and removing the effect of harsh environmental condition for reliable mobile robot mapping

Singh

Nagla

2019

View full text Add to dashboard Cite

Purpose An autonomous mobile robot requires efficient perception of the environment to perform various tasks in a challenging environment. The precise sensory information from the range sensors is required to accomplish prerequisites, such as SLAM, path planning and localization. But the accuracy and precision of the sensors become unreliable in harsh environmental conditions because of the effect of rain, dust, humidity, fog and smoke. The purpose of this paper is to generate robust mapping of the environment in harsh environmental conditions. Design/methodology/approach This paper presents a novel technique, averaging data with short range selection (ADWSRS), to reduce the effect of harsh environmental (rain, wind, humidity, etc.) conditions on sensory information (range) to generate reliable grid mapping. The sensory information on laser and sonar sensors in terms of probability values (occupied/unoccupied cell) in generating grid maps are fused after passing through two newly designed pre-processing filters: laser averaging filter and short range selection filter. This proposed approach relies on various aspects such as averaging laser data analogous to current pose of the sensor, selection of short range with respect to threshold value to remove the effect of specular reflection/crosstalk of sonar and a newly designed apparatus in which dirt cover (glass cover) and air blower are coupled to remove the influence of dirt, rain and humidity. Findings This proposed approach is tested in different environmental conditions, and to verify the consistency of the proposed approach, qualitative and quantitative analyses are carried out, which shows 42.5 per cent improvement in the probability value of occupied cells in the generated grid map. Originality/value The proposed ADWSRS approach reduced the effect of harsh environmental conditions such as fog, rain and smoke to generate efficient mapping of the environment, which may be implemented in diverse applications such as autonomous navigation, localization, path planning and mapping.

show abstract

Advances on CMOS image sensors

Cited by 40 publications

References 39 publications

New image analysis tool for facial pore characterization and assessment

New image analysis tool for facial pore characterization and assessment

Unconventional Image‐Sensing and Light‐Emitting Devices for Extended Reality

A modified sensor fusion framework for quantifying and removing the effect of harsh environmental condition for reliable mobile robot mapping

Contact Info

Product

Resources

About