This paper introduces a two-tier CMOS-3D architecture for generation of Gaussian pyramids, detection of extrema, and calculation of spatial derivatives in an image. Such tasks are included in modern feature detectors, which in turn can be used for operations like object detection, image registration or tracking. The top tier of the architecture...
-
February 1, 2016 (v1)PublicationUploaded on: March 27, 2023
-
September 20, 2019 (v1)Publication
This paper introduces an architecture of a switched-capacitor network for Gaussian pyramid generation. Gaussian pyramids are used in modern scale- and rotation-invariant feature detectors or in visual attention. Our switched-capacitor architecture is conceived within the framework of a CMOS-3D-based vision system. As such, it is also used...
Uploaded on: December 4, 2022 -
May 30, 2018 (v1)Publication
This paper addresses a CMOS vision sensor with 176 × 120 pixels in standard 0.18 μm CMOS technology that computes the Gaussian pyramid. The Gaussian pyramid is extracted with a double-Euler switched-capacitor network, giving RMSE errors below 1.2% of full-scale value. The chip provides a Gaussian pyramid of 3 octaves with 6 scales each with an...
Uploaded on: March 27, 2023 -
May 9, 2018 (v1)Publication
This live demonstration showcases the Gaussian pyramid with a CMOS vision sensor. The chip features a 176 120 pixel array in standard 0.18 m CMOS technology. The sensing elements are designed as 3-Transistor Active Pixel Sensors (3T-APS) with in-pixel ADC and CDS. The Gaussian pyramid is extracted concurrently with a double-Euler...
Uploaded on: March 27, 2023 -
September 13, 2019 (v1)Publication
In scale-space filtering signals are represented at several scales, each conveying different details of the original signal. Every new scale is the result of a smoothing operator on a former scale. In image processing, scale-space filtering is widely used in feature extractors as the Scale-Invariant Feature Transform (SIFT) algorithm. RC...
Uploaded on: December 4, 2022 -
April 27, 2018 (v1)Publication
This paper introduces a CMOS vision sensor chip in a standard 0.18 μm CMOS technology for Gaussian pyramid extraction. The Gaussian pyramid provides computer vision algorithms with scale invariance, which permits having the same response regardless of the distance of the scene to the camera. The chip comprises 176×120 photosensors arranged into...
Uploaded on: December 4, 2022 -
August 27, 2019 (v1)Publication
This paper addresses the design of an 8-bit single-slope in-pixel ADC for a 3D chip architecture intended for airborne surveillance and reconnaissance applications. The 3D chip architecture comprises a sensor layer with a resolution of 320 × 240 pixels bump-bonded to a three-tier chip on the 150 nm FDSOI CMOS-3D technology from MIT-Lincoln...
Uploaded on: March 27, 2023 -
July 3, 2018 (v1)Publication
This paper reports a multi-layered smart image sensor architecture for feature extraction based on detection of interest points. The architecture is conceived for 3-D integrated circuit technologies consisting of two layers (tiers) plus memory. The top tier includes sensing and processing circuitry aimed to perform Gaussian filtering and...
Uploaded on: December 5, 2022 -
July 31, 2018 (v1)Publication
This paper addresses an offset-compensated comparator with full-input range in the 150nm FDSOI CMOS- 3D technology from MIT- Lincoln Laboratory. The comparator discussed here makes part of a vision system. Its architecture is that of a self-biased inverter with dynamic offset correction. At simulation level, the comparator can reach a...
Uploaded on: March 27, 2023 -
December 16, 2019 (v1)Publication
This paper shows that the implementation of vision systems benefits from the usage of sensing front-end chips with embedded pre-processing capabilities - called CVIS. Such embedded pre-processors reduce the number of data to be delivered for ulterior processing. This strategy, which is also adopted by natural vision systems, relaxes...
Uploaded on: March 1, 2023 -
September 23, 2019 (v1)Publication
Image feature extraction is instrumental for most of the best-performing algorithms in computer vision. However, it is also expensive in terms of computational and memory resources for embedded systems due to the need of dealing with individual pixels at the earliest processing levels. In this regard, conventional system architectures do not...
Uploaded on: March 27, 2023 -
February 21, 2023 (v1)Publication
iCaveats is a Project on the integration of components and architectures for embedded vision in transport and security applications. A compact and efficient implementation of autonomous vision systems is difficult to be accomplished by using the conventional image processing chain. In this project we have targeted alternative approaches, that...
Uploaded on: February 28, 2023 -
September 11, 2018 (v1)Publication
While conventional CMOS active pixel sensors embed only the circuitry required for photo-detection, pixel addressing and voltage buffering, smart pixels incorporate also circuitry for data processing, data storage and control of data interchange. This additional circuitry enables data processing be realized concurrently with the acquisition of...
Uploaded on: March 27, 2023 -
August 12, 2019 (v1)Publication
This paper presents an architecture for the implementation of vision chips in 3-D integration technologies. This architecture employs the multi-functional pixel concept to achieve full parallel processing of the information and hence high processing speed. The top layer includes an array of optical sensors which are parallel-connected to the...
Uploaded on: December 4, 2022