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[PDF] Top 20 Fast pose estimation for texture-less objects based on B-Rep model

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Fast pose estimation for texture-less objects based on B-Rep model

Fast pose estimation for texture-less objects based on B-Rep model

... usually texture-less, are mainly represented with 3D boundary representation (B-Rep) model for designing and manufacturing, hence the pose estimation of ... See full document

10

Abstract: Pose estimation in computer vision, detects the position and orientation of objects. Usually this

Abstract: Pose estimation in computer vision, detects the position and orientation of objects. Usually this

... the model, you can watch your Cloud Management’s DeepLens uti1ize the model to perceive 37 extraordinary exercises, for instance, smearing make-ups, smearing lipstick, taking an interest in arrow ... See full document

5

CONVOLUTION NEURAL NETWORK (CNN) BASED OBJECT DETECTION IN OCEANOGRAPHIC IMAGERY

CONVOLUTION NEURAL NETWORK (CNN) BASED OBJECT DETECTION IN OCEANOGRAPHIC IMAGERY

... the objects and marking the debris from the satellite ...such objects quite efficient. In this paper, the colour and texture based technique has been proposed along with the neural network ... See full document

5

Work area monitoring in dynamic environments using multiple auto-aligning 3-D sensors

Work area monitoring in dynamic environments using multiple auto-aligning 3-D sensors

... and pose estimation start with feature extraction (Canny, 1986; Forstner, 1994; Harris and Stephens, 1988; Smith and Brady, ...methods based on affine in- variant regions determined around feature ... See full document

8

Wheat biomass estimation in different growth stage based on color and texture features of UAV images

Wheat biomass estimation in different growth stage based on color and texture features of UAV images

... monitoring model of wheat biomass based on the UAV platform was ...The model was tested using independent measured data, and the results were all reliable, indicating that it is feasible to ... See full document

17

Whisker texture classification with uncertain contact pose geometry

Whisker texture classification with uncertain contact pose geometry

... it has been shown that information about the whisker–object contact pose geometry can improve whisker sensing [9],[13]. It is difficult to determine why this has not been the case here. It may be that better ... See full document

7

Fast mesh based motion estimation employing an embedded block model

Fast mesh based motion estimation employing an embedded block model

... A fast algorithm for mesh-based motion estimation employ- ing uniform triangular patches is ...block model to estimate the motion of the mesh grid ...the fast algorithm to be ... See full document

5

Synergistic Face Detection and Pose Estimation with Energy-Based Models

Synergistic Face Detection and Pose Estimation with Energy-Based Models

... in pose, and do not yield pose ...all pose variation, but doesn’t yield pose ...of pose specific ...all pose variations, they did not test it the way we ... See full document

19

Active Shape Model Based Pose Estimation Using Hausdorff Matching

Active Shape Model Based Pose Estimation Using Hausdorff Matching

... human pose estimation we have chosen image silhouettes for the proposed ...silhouette- based image descriptor is that it can be robustly extracted from images and are insensitive to irrelevant ... See full document

11

Fast Nearest Neighbor Search With Keywords

Fast Nearest Neighbor Search With Keywords

... A spatial database manages multidimensional objects(such as points, rectangles, etc.), and provides fast access to those objects based on different selection criteria.The importance of spatial ... See full document

7

Vision-based assessment of parkinsonism and levodopa-induced dyskinesia with pose estimation

Vision-based assessment of parkinsonism and levodopa-induced dyskinesia with pose estimation

... for pose estima- tion, where they framed joint position prediction as a cascaded regression problem using CNNs as regres- sors ...the rep- resentational power of CNNs to learn the conditional probabilities ... See full document

13

A MEMS-based smart sensor system for estimation of camera pose for computer

A MEMS-based smart sensor system for estimation of camera pose for computer

... For tracking and matching many different frameworks were suggested in literature during the last decades, whereat it is possible to distinguish between those ap- proaches which rely only on a small subset of anchor ... See full document

10

Fast intra algorithm based on texture characteristics for 360 videos

Fast intra algorithm based on texture characteristics for 360 videos

... include fast CU/PU size de- cision such as that in [11, 12], fast intra prediction mode decision such as that in [13, 14], and fast mode decision such as that in [15, ...test model) with only ... See full document

16

Head Pose And Light Source Estimation On Low Resolution Facial Images Using A Texture Based Approach

Head Pose And Light Source Estimation On Low Resolution Facial Images Using A Texture Based Approach

... the estimation was correct, assuming a deviation of ...the estimation was ...The estimation distribution shows that these 3 landscapes are indeed representative for all images with these ... See full document

8

A Voting Algorithm for Dynamic Object Identification and Pose Estimation

A Voting Algorithm for Dynamic Object Identification and Pose Estimation

... human pose and shape were reviewed further. However, 3D pose estimation from single images remains a ...body model fits for multiple human pose datasets called the UP-3D dataset with ... See full document

139

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

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

... I have implemented a stochastic optimizer known as a particle swarm optimizer 109 . In this optimization technique’s canonical form (inspired by the behaviours of social animals searching for a common goal), a “swarm” of ... See full document

87

Image Enhancement Techniques by Texture Synthesis

Image Enhancement Techniques by Texture Synthesis

... They typically synthesize a texture in scan-line order by finding and copying pixels with the most similar local neighbourhood as the synthetic texture. These methods are very useful for image completion. ... See full document

5

Fast Nearest Neighbour Search with

Fast Nearest Neighbour Search with

... Design is one of the most important phases of software development. The design is a creative process in which a system organization is established that will satisfy the functional and non-functional system requirements. ... See full document

5

3D pose estimation in videos using convolutional neural network

3D pose estimation in videos using convolutional neural network

... 3D pose estimation in video, Detect-and-Track method (Girdhar, Gkioxari, Torresani, Paluri, & Tran, 2018) is proposed to estimate 3D poses from videos by adopting 3D Mask ...a pose ... See full document

161

Palmprint Recognition by using Modified LOCAL BINARY PATTERN

Palmprint Recognition by using Modified LOCAL BINARY PATTERN

... In this paper, to fully extract useful feature from an image, a Modified mutliscale LBP is proposed. It could dig out useful information from those “non-uniform” patterns. The main advantage of the proposed method could ... See full document

8

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