A survey on FPGA-based sensor systems: towards intelligent and reconfigurable low-power sensors for computer vision, control and signal processing
The current trend in the evolution of sensor systems seeks ways to provide more accuracy
and resolution, while at the same time decreasing the size and power consumption. The use …
and resolution, while at the same time decreasing the size and power consumption. The use …
A comparison of FPGA and GPU for real-time phase-based optical flow, stereo, and local image features
Low-level computer vision algorithms have extreme computational requirements. In this
work, we compare two real-time architectures developed using FPGA and GPU devices for …
work, we compare two real-time architectures developed using FPGA and GPU devices for …
Parallel architecture for hierarchical optical flow estimation based on FPGA
The proposed work presents a highly parallel architecture for motion estimation. Our system
implements the well-known Lucas and Kanade algorithm with the multi-scale extension for …
implements the well-known Lucas and Kanade algorithm with the multi-scale extension for …
Real-time pose detection and tracking of hundreds of objects
We propose a novel model-based method for tracking the 6-DOF pose of a very large
number of rigid objects in real time. By combining dense motion and depth cues with sparse …
number of rigid objects in real time. By combining dense motion and depth cues with sparse …
A hierarchical system for a distributed representation of the peripersonal space of a humanoid robot
Reaching a target object in an unknown and unstructured environment is easily performed
by human beings. However, designing a humanoid robot that executes the same task …
by human beings. However, designing a humanoid robot that executes the same task …
High-performance optical-flow architecture based on a multi-scale, multi-orientation phase-based model
The accurate estimation of optical flow is a problem widely experienced in computer vision
and researchers in this field are devoting their efforts to formulate reliable and robust …
and researchers in this field are devoting their efforts to formulate reliable and robust …
Massive parallel-hardware architecture for multiscale stereo, optical flow and image-structure computation
Low-level vision tasks pose an outstanding challenge in terms of computational effort: pixel-
wise operations require high-performance architectures to achieve real-time processing …
wise operations require high-performance architectures to achieve real-time processing …
Visual primitives: local, condensed, semantically rich visual descriptors and their applications in robotics
N Pugeault, F Woergoetter, N Krüger - International Journal of …, 2010 - World Scientific
We present a novel representation of visual information, based on local symbolic
descriptors, that we call visual primitives. These primitives:(1) combine different visual …
descriptors, that we call visual primitives. These primitives:(1) combine different visual …
Real-time architecture for a robust multi-scale stereo engine on FPGA
In this work, we present a real-time implementation of a stereo algorithm on field-
programmable gate array (FPGA). The approach is a phase-based model that allows …
programmable gate array (FPGA). The approach is a phase-based model that allows …
A systematic analysis of a V1–MT neural model for motion estimation
A neural feed-forward model composed of two layers that mimic the V1–MT primary motion
pathway, derived from previous works by Heeger and Simoncelli, is proposed and analyzed …
pathway, derived from previous works by Heeger and Simoncelli, is proposed and analyzed …