Real-time gaze tracking with event-driven eye segmentation
Y Feng, N Goulding-Hotta, A Khan… - … IEEE Conference on …, 2022 - ieeexplore.ieee.org
Gaze tracking is increasingly becoming an essential component in Augmented and Virtual
Reality. Modern gaze tracking algorithms are heavyweight; they operate at most 5 Hz on …
Reality. Modern gaze tracking algorithms are heavyweight; they operate at most 5 Hz on …
ILLIXR: Enabling end-to-end extended reality research
An increasing number of edge systems have large computational demands, stringent
resource constraints, and end-to-end quality-driven goodness metrics. Architects have …
resource constraints, and end-to-end quality-driven goodness metrics. Architects have …
Camj: Enabling system-level energy modeling and architectural exploration for in-sensor visual computing
CMOS Image Sensors (CIS) are fundamental to emerging visual computing applications.
While conventional CIS are purely imaging devices for capturing images, increasingly CIS …
While conventional CIS are purely imaging devices for capturing images, increasingly CIS …
Adaptive subsampling for ROI-based visual tracking: Algorithms and FPGA implementation
There is tremendous scope for improving the energy efficiency of embedded vision systems
by incorporating programmable region-of-interest (ROI) readout in the image sensor design …
by incorporating programmable region-of-interest (ROI) readout in the image sensor design …
Software-Defined Imaging: A Survey
Huge advancements have been made over the years in terms of modern image-sensing
hardware and visual computing algorithms (eg, computer vision, image processing, and …
hardware and visual computing algorithms (eg, computer vision, image processing, and …
Learned in-sensor visual computing: From compression to eventification
Visual computing is vital for numerous applications. In conventional visual computing
systems, CMOS image sensors (CIS) act as pure imaging devices for capturing images …
systems, CMOS image sensors (CIS) act as pure imaging devices for capturing images …
Energy-efficient object tracking using adaptive ROI subsampling and deep reinforcement learning
Recent innovations in ROI camera systems have opened up the avenue for exploring
energy optimization techniques like adaptive subsampling. Generally speaking, image …
energy optimization techniques like adaptive subsampling. Generally speaking, image …
Exploiting Human Color Discrimination for Memory-and Energy-Efficient Image Encoding in Virtual Reality
Virtual Reality (VR) has the potential of becoming the next ubiquitous computing platform.
Continued progress in the burgeoning field of VR depends critically on an efficient …
Continued progress in the burgeoning field of VR depends critically on an efficient …
BlissCam: Boosting Eye Tracking Efficiency with Learned In-Sensor Sparse Sampling
Eye tracking is becoming an increasingly important task domain in emerging computing
platforms such as Augmented/Virtual Reality (AR/VR). Today's eye tracking system suffers …
platforms such as Augmented/Virtual Reality (AR/VR). Today's eye tracking system suffers …
Squint: A Framework for Dynamic Voltage Scaling of Image Sensors Towards Low Power IoT Vision
Energy-efficient visual sensing is of paramount importance to enable battery-backed low
power IoT and mobile applications. Unfortunately, modern image sensors still consume …
power IoT and mobile applications. Unfortunately, modern image sensors still consume …