Pose Estimation MCQs With Answers

Computer MCQs 360May 11, 2024

0 8 1 minute read

Welcome to the Pose Estimation MCQs with Answers. In this post, we have shared Pose Estimation Online Test for different competitive exams. Find practice Pose Estimation Practice Questions with answers in Computer Tests exams here. Each question offers a chance to enhance your knowledge regarding Pose Estimation.

Pose Estimation Online Quiz

By presenting 3 options to choose from, Pose Estimation Quiz which cover a wide range of topics and levels of difficulty, making them adaptable to various learning objectives and preferences. You will have to read all the given answers of Pose Estimation Questions and Answers and click over the correct answer.

Test Name: Pose Estimation MCQ Quiz Practice
Type: Quiz Test
Total Questions: 40
Total Marks: 40
Time: 40 minutes

Note: Answer of the questions will change randomly each time you start the test. Practice each quiz test at least 3 times if you want to secure High Marks. Once you are finished, click the View Results button. If any answer looks wrong to you in Quizzes. simply click on question and comment below that question. so that we can update the answer in the quiz section.

Pose Estimation

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1 / 40

What is the primary use of pose estimation in autonomous robotics?

Navigation and interaction (correct)

Image enhancement

Data compression

2 / 40

Which approach combines pose estimation with semantic segmentation for understanding human actions?

Pose-based Action Recognition (correct)

Face Recognition

Object Detection

3 / 40

Which technique estimates human poses using deep neural networks and heatmaps?

VAEs (Variational Autoencoders)

PoseNet (correct)

GANs

4 / 40

Which technique estimates 3D poses from 2D images without explicit depth information?

Triangulation

Perspective correction

Monocular depth estimation (correct)

5 / 40

What does MTCNN stand for in the context of pose estimation from images?

Multi-view Temporal Convolutional Networks

Multi-layer Transformer Convolutional Networks

Multi-task Cascaded Convolutional Networks (correct)

6 / 40

What does LCR-Net++ focus on in the context of pose estimation?

Localized Calibration

Large-scale Crowd Pose Estimation (correct)

Low-contrast Ratio

7 / 40

What is the primary advantage of using Kalman filters in pose estimation?

Depth sensing

Smoothing noisy pose estimates (correct)

Real-time computation

8 / 40

Which approach combines pose estimation with gesture recognition?

Facial expression analysis

Pose Gesture Recognition (correct)

Speech synthesis

9 / 40

What does LCR-Net++ focus on in the context of pose estimation?

Large-scale Crowd Pose Estimation (correct)

Low-level Contrast Ratio

Localized Calibration

10 / 40

What does APE stand for in the context of pose estimation metrics?

Adaptive Pose Estimation

Angle Pose Evaluation

Average Pose Error (correct)

11 / 40

What is the primary advantage of using synthetic data for training pose estimation models?

Data diversity and scalability (correct)

Reduced computational cost

Real-world variability

12 / 40

Which technique is commonly used for pose estimation using single cameras?

Perspective-n-Point (PnP) (correct)

Histogram of Oriented Gradients (HOG)

Optical flow

13 / 40

Which neural network architecture is commonly used for real-time pose estimation on mobile devices?

ResNet

MobileNet (correct)

Inception

14 / 40

Which dataset is commonly used for benchmarking pose estimation algorithms?

MPII Human Pose (correct)

ImageNet

COCO (Common Objects in Context)

15 / 40

What is the primary challenge of pose estimation in crowded scenes?

Lighting variation

Occlusion and overlapping poses (correct)

Background clutter

16 / 40

Which technique estimates 3D poses using multi-camera setups?

Depth sensing

Time-of-Flight (ToF)

Multi-view stereo (correct)

17 / 40

Which technique estimates poses from RGB images without depth information?

2D pose estimation (correct)

3D pose estimation

Multi-view pose estimation

18 / 40

What does MPJPE stand for in the context of pose estimation evaluation metrics?

Mean Per Joint Position Error (correct)

Maximum Per Joint Position Error

Median Per Joint Position Error

19 / 40

Which application area benefits from pose estimation technology?

Optical character recognition

Speech recognition

Augmented reality (AR) (correct)

20 / 40

What does HOG feature extraction focus on in the context of pose estimation preprocessing?

Edge and gradient orientation (correct)

Color intensity

Texture analysis

21 / 40

Which application area uses pose estimation for behavior analysis and surveillance?

Virtual reality (VR)

3D modeling

Security and surveillance (correct)

22 / 40

Which algorithm estimates human poses using body joint keypoints?

OpenPose (correct)

YOLO (You Only Look Once)

Mask R-CNN

23 / 40

What does HPE stand for in the context of pose estimation?

Human Pose Estimation (correct)

High-Performance Evaluation

Hierarchical Pose Estimation

24 / 40

What does RGB-D stand for in the context of pose estimation?

Remote Global Depth

Red-Green-Blue Depth (correct)

Reflective Gradient Depth

25 / 40

What is the primary benefit of using ensemble methods in pose estimation models?

Improved robustness and generalization (correct)

Lower memory usage

Real-time performance

26 / 40

Which deep learning architecture is often used for pose estimation tasks?

Generative Adversarial Networks (GANs)

Convolutional Neural Networks (CNNs) (correct)

Recurrent Neural Networks (RNNs)

27 / 40

Which technique estimates pose from a sequence of video frames?

Static Pose Estimation

Spatial Pose Estimation

Temporal Pose Estimation (correct)

28 / 40

Which evaluation metric measures the accuracy of pose estimation by comparing joint positions?

PCK (Percentage of Correct Keypoints) (correct)

F1-score

IoU (Intersection over Union)

29 / 40

Which technique combines pose estimation with facial recognition for identity verification?

Face Pose Recognition (correct)

Emotion Detection

Gesture Recognition

30 / 40

What does SPPE stand for in the context of pose estimation networks?

Spatial Pose Processing

Single-Stage Pose Estimation (correct)

Sequential Pose Prediction

31 / 40

What does COCO keypoints refer to in the context of pose estimation datasets?

COmprehensive COntext

Common Objects in Context keypoints (correct)

COlor COmputation

32 / 40

What is the advantage of using multi-view pose estimation over single-view?

Improved accuracy (correct)

Faster computation

Lower memory usage

33 / 40

Which technique estimates pose by analyzing skeletal structures in images?

Facial recognition

Skeletal Pose Estimation (correct)

Object tracking

34 / 40

Which sensor is commonly used for depth-based pose estimation?

Kinect (correct)

Radar

LiDAR

35 / 40

Which mathematical technique is often used for 3D pose estimation from 2D images?

Perspective projection (correct)

Principal component analysis

Affine transformation

36 / 40

What is pose estimation in computer vision?

Classifying objects

Detecting object boundaries

Estimating the position and orientation of objects (correct)

37 / 40

What is the primary challenge in human pose estimation?

Texture and color

Lighting and shadows

Articulation and occlusion (correct)

38 / 40

Which deep learning framework is commonly used for developing pose estimation models?

Keras

PyTorch

TensorFlow (correct)

39 / 40

What is the primary role of pose estimation in sports analytics?

Performance analysis and training (correct)

Player recruitment

Ticket sales optimization

40 / 40

What is the primary advantage of using transfer learning in pose estimation?

Higher computational cost

Real-time processing

Improved performance with less data (correct)

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Computer MCQs 360May 11, 2024

0 8 1 minute read