Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images
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- Type
- article
- Published
- 2013-06-01
- Cited by
- 1,092
- References
- 36
- OpenAlex
- https://openalex.org/W1989476314
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:8632684
Keywords
Artificial intelligence, Computer vision, RGB color model, RANSAC, Pixel
References
- KinectFusion: Real-time dense surface mapping and tracking
- Keypoint recognition using randomized trees
- Epitomic Location Recognition
- Leveraging 3D City Models for Rotation Invariant Place-of-Interest Recognition
- A Method for Registration of 3-D Shapes
- Real-time human pose recognition in parts from single depth images
- Mean Shift: A Robust Approach Toward Feature Space Analysis
- 6D Relocalisation for RGBD Cameras Using Synthetic View Regression
- KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera
- DTAM: Dense tracking and mapping in real-time
- Automatic Relocalization and Loop Closing for Real-Time Monocular SLAM
- Preemptive RANSAC for live structure and motion estimation
- Vision-based global localization and mapping for mobile robots
- ORB: An efficient alternative to SIFT or SURF
- Shape Quantization and Recognition with Randomized Trees
- 3D LayoutCRF for Multi-View Object Class Recognition and Segmentation
- Hough Forests for Object Detection, Tracking, and Action Recognition
- From structure-from-motion point clouds to fast location recognition
- Scalable Recognition with a Vocabulary Tree
- Fast image-based localization using direct 2D-to-3D matching
Cited by
- Robot In a Room: Toward Perfect Object Recognition in Closed Environments
- Semi-supervised learning and feature evaluation for RGB-D object recognition
- Detecting Ambiguity in Localization Problems Using Depth Sensors
- RGBD relocalisation using pairwise geometry and concise key point sets
- Convolutional networks for real-time 6-DOF camera relocalization
- Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images
- Exploiting uncertainty in regression forests for accurate camera relocalization
- SUN RGB-D: A RGB-D scene understanding benchmark suite
- Supervised descriptor learning for multi-output regression
- A dynamic programming approach for fast and robust object pose recognition from range images
- Metric Regression Forests for Correspondence Estimation
- Doppler Effect based Moving Target Detection Adaptive to Speed
- Message from the general and program chairs
- Real-Time RGB-D Camera Relocalization via Randomized Ferns for Keyframe Encoding
- Filter Forests for Learning Data-Dependent Convolutional Kernels
- Real-time RGB-D camera relocalization
- Metric Regression Forests for Human Pose Estimation
- Multi-output Learning for Camera Relocalization
- Data-driven fluid simulations using regression forests
- Going deeper with convolutions
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