Proceedings ArticleDOI
Using mobile GPU for general-purpose computing – a case study of face recognition on smartphones
Kwang-Ting Cheng,Yi-Chu Wang +1 more
- pp 1-4
TLDR
This work uses face recognition as an application driver for face recognition and implementations on a smartphone reveals that, utilizing the mobile GPU as a co-processor can achieve significant speedup in performance as well as substantial reduction in total energy consumption, in comparison with a mobile-CPU-only implementation on the same platform.Abstract:
As GPU becomes an integrated component in handheld devices like smartphones, we have been investigating the opportunities and limitations of utilizing the ultra-low-power GPU in a mobile platform as a general-purpose accelerator, similar to its role in desktop and server platforms. The special focus of our investigation has been on mobile GPU's role for energy-optimized real-time applications running on battery-powered handheld devices. In this work, we use face recognition as an application driver for our study. Our implementations on a smartphone reveals that, utilizing the mobile GPU as a co-processor can achieve significant speedup in performance as well as substantial reduction in total energy consumption, in comparison with a mobile-CPU-only implementation on the same platform.read more
Citations
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Journal ArticleDOI
Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition
TL;DR: A generic deep framework for activity recognition based on convolutional and LSTM recurrent units, which is suitable for multimodal wearable sensors, does not require expert knowledge in designing features, and explicitly models the temporal dynamics of feature activations is proposed.
Journal ArticleDOI
Mobile Augmented Reality Survey: From Where We Are to Where We Go
TL;DR: This survey discusses advances in tracking and registration, since their functionality is crucial to any MAR application and the network connectivity of the devices that run MAR applications together with its importance to the performance of the application.
Proceedings ArticleDOI
Deep convolutional feature transfer across mobile activity recognition domains, sensor modalities and locations
TL;DR: This work identifies what kernels are predominantly sensitive to, amongst sensor characteristics, motion dynamics and on-body placement, in wearable activity recognition by reusing kernels learned on a source domain on another target domain.
Proceedings ArticleDOI
Use of SIMD Vector Operations to Accelerate Application Code Performance on Low-Powered ARM and Intel Platforms
TL;DR: This paper considers and compares the NEON SIMD instruction set used on the ARM Cortex-A series of RISC processors with the SSE2 SIMD Instruction set found on Intel platforms within the context of the Open Computer Vision (OpenCV) library.
Proceedings ArticleDOI
Accelerating computer vision algorithms using OpenCL framework on the mobile GPU - A case study
TL;DR: This work proposes to accelerate an exemplar-based inpainting algorithm for object removal on a mobile GPU using OpenCL, and is the first published implementation of general-purpose computing using Opencl on mobile GPUs.
References
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Journal ArticleDOI
The FERET evaluation methodology for face-recognition algorithms
TL;DR: Two of the most critical requirements in support of producing reliable face-recognition systems are a large database of facial images and a testing procedure to evaluate systems.
Proceedings ArticleDOI
The FERET evaluation methodology for face-recognition algorithms
TL;DR: Two of the most critical requirements in support of producing reliable face-recognition systems are a large database of facial images and a testing procedure to evaluate systems.
Journal ArticleDOI
Hierarchical Ensemble of Global and Local Classifiers for Face Recognition
TL;DR: A novel face recognition method which exploits both global and local discriminative features, and which encodes the holistic facial information, such as facial contour, is proposed.
Proceedings ArticleDOI
iPACKMAN: high-quality, low-complexity texture compression for mobile phones
Jacob Ström,Tomas Akenine-Möller +1 more
TL;DR: This work presents a novel texture compression scheme, called iPACKMAN, targeted for hardware implementation, which outperforms the previous de facto standard texture compression algorithms in the majority of all cases that it has tested.
Proceedings ArticleDOI
Hierarchical Ensemble of Global and Local Classifiers for Face Recognition
TL;DR: A novel face recognition method which exploits both global and local discriminative features, and which encodes the holistic facial information, such as facial contour, is proposed.