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We grew up interacting with the physical objects around us. And there are large number of them that we use everyday. These objects are more fun to use than our computing devices. Taking about objects, another thing that get's attached with objects is gestures; how we manipulate these objects & how we use them in everyday life. These gesture are used to interact with objects as well as to interact...
Various Community Service Centers (CSC) are deployed in villages by the Government of India (GoI) as part of digital India programme to bring the various e-Governance services to the rural mass. The existing systems in such CSCs are rarely used because of its unfriendly graphical interfaces and traditional hardware peripherals. There is a need to find a solution which attracts such users towards usage...
Glare is a hardware problem that occurs because of the light trapped in the lens elements. It is a common problem faced in photography when trying to capture image of a scene having bright source in it or taken in a very bright environment. Glare can hide useful information in the image, can make foreground objects blurry and deformed. In this paper, we propose a novel method to detect glare, mainly...
We propose a software-based projected image stabilization method for a projector mounted on a movable unit (e.g., a wheeled robot). The proposed method is divided into pre-measurement and stabilization processes. In the pre-measurement process, synchronized Inertial Measurement Unit (IMU) data and projector poses are measured and synchronized. In the stabilization process, the pre-measured IMU data...
To achieve the goal of frontal vehicle detection in night-driving condition, we propose an effective method to detect the red taillights of vehicles. The challenge is that the taillight images captured with automatic exposure typically are overexposed, which makes red color segmentation often erroneous. Instead of customizing the camera hardware to tackle this problem, we combine morphological and...
Nowadays capturing the image of eyeball with camera and estimating gaze points using pupil positions is the most common method for eye-tracking devices. Head-mounted eye-tracking equipment has a wide range of application because of its flexibility and high gaze estimation accuracy. But the user's head should keep still using a chin rest or other tools, or will lead to enormous gaze estimation errors...
The travel time estimation is one of traffic management system which provide time taken from one point to another point. Travel time estimation system consists of an embedded platform with image sensor for detecting and tracking the vehicle. Due to limited resources of embedded board, it makes challenging to measure the travel time especially for fast moving vehicle. Capturing system required a high...
This paper presents a method for real-time detection and tracking of the human face. This is achieved using the Raspberry Pi microcomputer and the Easylab microcontroller as the main hardware with a camera mounted on servomotors for continuous image feed-in. Real-time face detection is performed using Haar-feature classifiers and ScicosLab in the Raspberry Pi. Then, the Easylab is responsible for...
In robotics and in many other applications, computer vision, object recognition and object tracking have been subject to a lot of active research with many different approaches and interesting results. In our project, we consider the automatic target-tracking problem in order to find an efficient and useful method for UAV. We use AR.Drone 2.0 as the air platform for tracking a target. In order to...
Parabolic motion cameras are used to obtain better deblurring results of scenes with multiple moving objects. The core of its deblurring process is Iterative Re-weighted Least Squares (IRLS) method. In this paper, we design a hardware accelerator for IRLS flow. The ASIC chip is implemented using TSMC 90 nm technology. It is capable of deblurring a 640 × 480 image captured by a parabolic camera with...
Many compelling video post-processing effects, in particular aesthetic focus editing and refocusing effects, are feasible if per-frame depth information is available. Existing computational methods to capture RGB and depth either purposefully modify the optics (coded aperture, light-field imaging), or employ active RGB-D cameras. Since these methods are less practical for users with normal cameras,...
To enable robotic sensing for tasks with requirements on weight, size, and cost, we develop an ultra-tiny line laser range sensor based on the Time-of-Flight (TOF) principle. With delicate circuit design and optical attachments, we create a sensor as small as 35[mm] × 27[mm] × 30[mm] and as light as 20[g]. The line sensor samples 272 pixels (256 effective pixels) uniformly distributed within the measurement...
This paper presents hardware and software solution for simulation of a group of cameras used by the PLATO satellite. The simulator can be configured either to work with the scientific processing unit or as the complementary loop attitude control processing unit. Configuration and monitoring can be performed remotely, which caters to cooperatively work and guarantees traceability for quality purposes...
Light field raw data collected from a camera array require large storage space on disks. To compress light field data, sparse representation is regarded as one of the top choices. In this paper, we design an Orthogonal Matching Pursuit (OMP) processor to improve computing time for finding sparse representation. The chip operates at 400 MHz and achieves 5 times speed-up when compared to the software...
A FPGA-based embedded system development platform with dual-camera support, named MorFPGA Duo, is presented in this paper. The MorFPGA Duo platform adopts the modular design concept and is capable of a dual core employing the ARM Cortex A9, two channel SDI cameras with Full-HD resolution, versatile built-in peripherals and high expandability to satisfy users' eager needs for state-of-the-art research...
Stereo Match is one of the key fields in computer vision. Although many dense two-frame stereo algorithms have been developed in this domain, few utilize cross check and disparity gradient based refinement method. This paper proposes: (1) Cross check method using two generated disparity maps based on left and right original images. (2) A novel occluded and low-texture region growth method based on...
for improving the present situation in the quality detection of plate making product line, a simplified homocentric square filter (SHSF) is proposed and implemented based on machine vision. Firstly, a hardware platform including camera, lens, light source, and encoder is designed to acquire high quality images. In order to automatically detect defects from the acquired images, the SHSF is designed...
Environmental monitoring, specifically when dealing with large mammal inventories, require high resolution digital still images. With high resolution pictures a more detailed analysis of the animals can be achieved. To fulfill this requirement a trap camera with a 5 MP resolution was developed. The trap camera is part of the TAPIRnet initiative goals, which are to develop a wireless image sensor network...
Attention-based bio-inspired vision can be studied as a different way to consider sensor processing, firstly allowing to reduce the amount of data transmitted by connected cameras and secondly advocating a paradigm shift toward neuro-inspired processing for the post-processing of the few regions extracted from the visual field. The computational complexity of the corresponding vision models leads...
This work describes a light weight dedicated system, capable of generating a sequence of depth-maps computed from image streams acquired from a synchronized pair of GoPro HERO 3+ cameras in real-time. The envisioned purpose is to capture depth-maps from mid-sized drones for computer vision applications (e.g. surveillance and management of ecosystems). The implementation is of modular design, consisting...
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