As a major breakthrough in artificial intelligence and deep learning, Convolutional Neural Networks have achieved an impressive success in solving many problems in several fields including computer vision and image pr...
详细信息
ISBN:
(数字)9781665496209
ISBN:
(纸本)9781665496209
As a major breakthrough in artificial intelligence and deep learning, Convolutional Neural Networks have achieved an impressive success in solving many problems in several fields including computer vision and imageprocessing. Real-time performance, robustness of algorithms and fast training processes remain open problems in these contexts. In addition object recognition and detection are challenging tasks for resource-constrained embedded systems, commonly used in the industrial sector. To overcome these issues, we propose a dimensionality reduction framework based on Proper Orthogonal Decomposition, a classical model order reduction technique, in order to gain a reduction in the number of hyperparameters of the net. We have applied such framework to SSD300 architecture using PASCAL VOC dataset, demonstrating a reduction of the network dimension and a remarkable speedup in the fine-tuning of the network in a transfer learning context.
Smart homes are to be protected from fire hazards which is a crucial safety concern. Existing ways of detecting fire is time consuming, hence causing maximum injuries and financial loss, so we have come up with an eff...
详细信息
In electronic factors manufacturing, icing product quality through disfigurement discovery is pivotal for maintaining trustability and performance norms. This exploration investigates the operation of deep literacy wa...
详细信息
Chest radiography allows a detailed inspection of a patient's thorax via an imaging modality, but requires specialized training for proper interpretation. With the advent of high performance general purpose image ...
详细信息
To save transmission, processing and memory resources in Advanced Driver Assistance systems (ADAS), it is often necessary to reduce the image resolution. Sometimes it is necessary to increase it after the transmission...
详细信息
ISBN:
(纸本)9781665462198
To save transmission, processing and memory resources in Advanced Driver Assistance systems (ADAS), it is often necessary to reduce the image resolution. Sometimes it is necessary to increase it after the transmission. Both resolution changes involve an image interpolation process. This paper describes implementation for three well-known interpolation methods, nearest neighbour interpolation (NN), bilinear interpolation (BL) and bicubic interpolation (BC), on a real automotive AMV ALPHA platform, using multiple processors on the same System on Chip (SoC). Implementation was done using C programming language and Vision Software Development Kit (VSDK). Specific attention is given to the optimal distribution of tasks to the certain processor. The results have shown that, on the real automotive AMV ALPHA platform, BL interpolation achieves the best trade-off between the quality of interpolated image for the usage in automotive image-processing based algorithms and execution time, especially for the algorithms where the lower frame rate is acceptable (like surround-view, park assist, etc.).
In recent years, with the rapid development of science and technology in my country, people's requirements for computer information technology have become higher and higher. In order to better explore new things, ...
详细信息
作者：
Mahesh, T.R.Vivek, V.
Faculty of Engineering and Technology Department of Computer Science and Engineering Bangalore India
This researcher investigated effective much eye opening and pattern detection algorithms. Finally, this article used two frameworks to argue that geospatial investigation systems for patterns are necessary. One of mos...
详细信息
In 1985 I joined Texas Instruments' (TI's) Deformable Mirror Device ( DMD) group to develop applications of the cantilever device in coherent optical signal processing. At that time I witnessed the "aha d...
详细信息
ISBN:
(纸本)9781510670617;9781510670600
In 1985 I joined Texas Instruments' (TI's) Deformable Mirror Device ( DMD) group to develop applications of the cantilever device in coherent optical signal processing. At that time I witnessed the "aha discovery" that led to the invention of the DLP. It is interesting to consider the many years of effort that led Larry Hornbeck to this commercially successful implementation, not just the technology, but the efforts to sustain the project through sponsored R&D. While TI viewed the only sustainable market as (incoherent) display applications, the DMD group sustained the effort with DoD funding for coherent and incoherent optical signal processingsystems, including matched filter correlators, digital optical switches, optical crossbar switches and related neural network processors. For coherent signal processing the need for a 2p phase-only (piston-motion pixel) spatial light modulator (SLM) was readily apparent to the sponsors. While TI saw little commercial justification for the phase-only device, this need inspired me around 1991 to develop a new class of real-time computer-generated holography algorithms referred to a pseudorandom encoding, in which each phase-only pixel is encoded with a desired magnitude and phase. The optical Fourier transforms of the modulation enabled my developments of multi-spot object targeting and laser tweezer systems. Around 2005 I began using Digital Light processing (DLP) developer kits in place of scanners to time-share images with a small number of detectors. One system using a single, high sensitivity detector together with well- chosen DLP frames quickly forms a "partial image" of a point-like scene objects - arguably, an early version of compressive sensing. This paper concludes with recommendations on optimizing the performance and applications of, and potential markets for TI's recently demonstrated phase-only DLP.
The rapid growth of the automotive industry necessitates the implementation of robust passenger safety measures, especially in the domain of traffic sign recognition for autonomous driving. This study introduces an ef...
详细信息
We discuss some applications in image restoration and enhancement, such as denoising and deblurring. The treatment involves a processing algorithm where an image is represented in a continuous frame and is manipulated...
详细信息
暂无评论