[PDF] Top 20 Synergetic image recognition with applications to pose estimation

Synergetic image recognition with applications to pose estimation

... A review of the current range of synergetic pattern recognition systems leads to a recognition of two major weaknesses in the current crop of synergetic pattern recognition algorithms, s[r] ... See full document

144

Acceleration of Points to Convex Region Correspondence Pose Estimation Algorithm on GPUs for Real Time Applications

... Hence, our parallel implementation of AOPEA could be implemented on GPUs for real-time applications using high-resolution frames with a high number of markers per frame.. For our future [r] ... See full document

18

Illumination, Expression and Occlusion Invariant Pose-Adaptive Face Recognition System for Real-Time Applications

... Face recognition in real-time scenarios is mainly affected by illumination, expression and pose variations and also by ...for pose- adaptive component-based face recognition ...facial ... See full document

7

Neurosurgical Ultrasound Pose Estimation Using Image-Based Registration and Sensor Fusion - A Feasibility Study

... of applications ranging from tuning algorithms such as neural networks, electrical grid optimization, biological system modelling, and robot path planning 110 ... See full document

87

A Two-Stage Bayesian Network Method for 3D Human Pose Estimation from Monocular Image Sequences

... Human pose reconstruction, also called human motion capture, is one of the most popular research topics in computer vision and machine ...many image understanding applications, including ... See full document

16

On Motion Estimation Problems in Computer Vision

... relative pose with single shot ...The estimation can be on-site, or even can be applied for ...practical applications, the intrinsic parameters of the cameras are often fixed while the extrinsic ... See full document

175

Face Recognition under Pose Variations

... face recognition past studies show that the biggest challenge is to reliably recognize people in the presence of image/object variations that occur naturally in our daily ...practical applications ... See full document

5

Cross pose face recognition by integrating regression iteration and interactive subspace

... the recognition rate of DeepFace ...45° pose change, the recognition rate was up to ...90° pose change, the recognition rate was up to ...The recognition rate in ...face ... See full document

8

Joint Dynamic Pose Image and Space Time Reversal for Human Action Recognition from Videos

... action recognition aims to classify a given video according to which type of action it ...of pose estimation to enhance the performances of video frame ...a pose feature called dynamic ... See full document

8

Efficient Human Pose Estimation with Image-dependent Interactions

... Pose estimation subsumes one of the holy grails of computer vision: general object ...articulated pose, body type, and severe foreshort- ...to pose, lighting, texture and color and still ... See full document

188

Multi-View Skeleton Pose Sequence Selection For Human Activity Analysis

... Human pose recognition has been an active area of research for the past several decades due to its applications in activity recognition for surveillance, video games, robotics, ...human ... See full document

10

Turbo Learning Framework for Human-Object Interactions Recognition and Human Pose Estimation

... the pose features, the action is correctly classified as ...the pose features, which help the model to successfully locate objects. Pose Estimation with ...HOI Recognition To ... See full document

8

Title: RECOGNIZING PERSONS IN MULTI VIEW VIDEOS BY SIMILARITY BETWEEN FEATURE SETS FROM DIFFERENT VIDEOS

... The applications of face recognition can be found in telecommunication, law enforcement, biometrics and ...face recognition, it is still far from being completely solved, especially in uncontrolled ... See full document

6

2D Face Recognition across Pose and Illumination Variations

... There are several different stereo matching algorithms are explained in [9]. Efficient stereo algorithm supports the good correspondences between two images. Even though several methods might be suitable for face ... See full document

6

A Voting Algorithm for Dynamic Object Identification and Pose Estimation

... object recognition problem of 3D objects in different ...and image objects using a voting technique for object recognition and posterior pose estimation in the context of the car ... See full document

139

Head Pose Estimation Using Convolutional Neural Networks

... head pose is crucial since it usually coincides with the gaze ...head pose estimation is also essential for analyzing complex meaningful gestures such as pointing gestures or head nodding and ...head ... See full document

6

License Plate Recognition System using Neural Networks and Multithresholding Technique

... plate recognition is a fully automated real time technique that has been widely used for identification, theft control and security validation of ...For recognition and extraction of desired regions of the ... See full document

6

Low Cost Vision-Based Multi-Lane Road Marker Recognition and Vehicle Pose Estimation

... It is observed from the attack dataset of EPA-HTTP that during the attack phase, there is an enormous amount of HTTP GET request from various clients to the target server.. It is also[r] ... See full document

9

On the Evaluation of Texture and Color Features for Nondestructive Corrosion Detection

... A wide variety of literature works [6, 8, 10, 11] have reported that texture features are proper to characterize corroded surfaces. In addition, typical color changes of metallic surfaces are often related to corrosion. ... See full document

7

Research on Saliency Detection

... an image, assuming that there is one or several salient ones within ...many applications like object recognition, image segmentation, content-based retargeting , image retrieval, ... See full document

10