Depth from Monocular Images using a Semi-Parallel Deep Neural Network (SPDNN) Hybrid Architecture

  title={Depth from Monocular Images using a Semi-Parallel Deep Neural Network (SPDNN) Hybrid Architecture},
  author={Shabab Bazrafkan and Hossein Javidnia and Joseph Lemley and Peter M. Corcoran},
Deep neural networks are applied to a wide range of problems in recent years. In this work, Convolutional Neural Network (CNN) is applied to the problem of determining the depth from a single camera image (monocular depth). Eight different networks are designed to perform depth estimation, each of them suitable for a feature level. Networks with different pooling sizes determine different feature levels. After designing a set of networks, these models may be combined into a single network… 

An Advert Creation System for 3D Product Placements

A Video Advertisement Placement & Integration (Adverts) framework, which is capable of perceiving the 3D geometry of the scene and camera motion to blend 3D virtual objects in videos and create the illusion of reality is presented.

Sensor-Aided EMF Exposure Assessments in an Urban Environment Using Artificial Neural Networks

  • Shanshan WangJ. Wiart
  • Computer Science
    International journal of environmental research and public health
  • 2020
The influence of city architecture on EMF exposure reconstruction is analyzed and the addition of noise is considered to test the robustness of ANN as well.

Deep Learning-Based Monocular Depth Estimation Methods—A State-of-the-Art Review

A comprehensive overview of monocular depth estimation from Red-Green-Blue images including the problem representation and a short description of traditional methods for depth estimation is provided.

Pushing the AI Envelope: Merging Deep Networks to Accelerate Edge Artificial Intelligence in Consumer Electronics Devices and Systems

CE engineers are asked to leverage a wealth of recent research that leverages the use of various DNNs to solve a broad range of pattern recognition and classification problems suitable for deployment in practical devices and electronic systems.



A Depth Map Post-Processing Approach Based on Adaptive Random Walk With Restart

A form of median solver/filter based on the concept of the mutual structure, which refers to the structural information in both images, is introduced to refine the depth map generated by the proposed depth post-processing framework.

Adaptive smoothness constraints for efficient stereo matching using texture and edge information

An efficient stereo matching algorithm, which applies adaptive smoothness constraints using texture and edge information, which outperforms the conventional methods significantly and achieves the state-of-the-art performance on the Middlebury stereo benchmark.

VII. Note on regression and inheritance in the case of two parents

  • K. Pearson
  • Mathematics
    Proceedings of the Royal Society of London
  • 1895
Consider a population in which sexual selection and natural selection may or may not be taking place. Assume only that the deviations from the mean in the case of any organ of any generation follow


Abstract. This paper introduces a new image-guided non-local dense matching algorithm that focuses on how to solve the following problems: 1) mitigating the influence of vertical parallax to the cost

Design and characterization of a 256 x 64-pixel single-photon imager in CMOS for a MEMS-based laser scanning time-of-flight sensor.

This paper focuses on the design and characterization of a 256 x 64-pixel image sensor, which also comprises an event-driven readout circuit, an array of 64 row-level high-throughput time-to-digital converters, and a 16 Gbit/s global read out circuit.

A Correlation-Based Approach for Real-Time Stereo Matching

This paper presents a new area-based stereo matching algorithm that computes dense disparity maps for a real time vision system and works very well at disparity boundaries as well as in low textured image areas and computes a sharp disparity map.


Abstract. Dense stereo matching is one of the fundamental and active areas of photogrammetry. The increasing image resolution of digital cameras as well as the growing interest in unconventional

Artificial Neural Networks

artificial neural networks , artificial neural networks , مرکز فناوری اطلاعات و اطلاع رسانی کشاورزی

A universal image quality index

Although the new index is mathematically defined and no human visual system model is explicitly employed, experiments on various image distortion types indicate that it performs significantly better than the widely used distortion metric mean squared error.