Computer Vision
Showing 36 of 711 projects
An open-source visual-inertial odometry system that estimates camera motion and sparse 3D maps from camera and IMU data.
Monocular 3D object detection and SLAM system that detects and tracks cuboids to estimate camera and object poses.
CVPR 2015 workshop materials for learning deep learning and computer vision with Torch framework.
TensorFlow implementation of unsupervised cross-domain image generation for transferring images between domains like SVHN to MNIST.
A PyTorch implementation of neural style transfer, combining the content of one image with the artistic style of another.
A multi-threaded, SSE-optimized Normal Distributions Transform algorithm for point cloud registration, offering up to 10x speedup over the original PCL implementation.
A curated collection of papers, code, and datasets for deep learning and multimodal learning in video analysis.
A Flutter plugin for integrating Apple's ARKit framework to build augmented reality experiences on iOS.
A Go library for perceptual image hashing, supporting average, difference, and perception hashing algorithms.
A visible-infrared paired dataset for low-light vision tasks like pedestrian detection, image fusion, and image-to-image translation.
A curated list of research papers and resources for scene understanding in computer vision, covering 3D reconstruction, layout estimation, and primitive detection.
A CNN-based captcha solver for Taiwan Railway booking website with a training set generator that mimics captcha style and uses data augmentation.
A semi-automatic, web-based toolbox for annotating 3D bounding boxes in full-surround, multi-modal sensor data streams.
Convert KITTI autonomous driving datasets into ROS bag files for easy playback and integration.
A Ruby wrapper for OpenCV, enabling computer vision and image processing in Ruby applications.
A benchmark and toolkit for discovering, detecting, recognizing, and tracking UAVs in the wild using RGB and thermal infrared video.
A C++ library for fast ground segmentation from LiDAR point clouds using the line-fit algorithm.
An open-source image analysis software package for plant phenotyping using computer vision.
A lightweight, accurate, and robust monocular visual-inertial odometry system based on a hybrid Multi-State Constraint Kalman Filter.
A TensorFlow implementation for generating semantically segmented bird's eye view images from multiple vehicle-mounted cameras using a Sim2Real deep learning approach.
Public domain Java software for processing and analyzing scientific images across multiple platforms.
Detects 6-DOF grasp poses for parallel jaw grippers in 3D point clouds, enabling robotic grasping of novel objects in clutter.
A desktop tool for labeling individual points and polygons in LiDAR point cloud datasets, specifically designed for KITTI format.
Real-time 3D semantic reconstruction library for robotics, building dense metric-semantic maps from 2D sensor data.
A C++14 header-only library for high-performance video and image processing using meta-programming and SIMD optimizations.
A collection of CAPTCHA-breaking implementations using OpenCV, Tesseract OCR, and machine learning algorithms.
An open-source simulator for event cameras, providing accurate event generation with IMU and multi-camera support.
Real-time 3D semantic mapping system using a handheld RGB-D camera, built on ROS with ORB_SLAM2 and PSPNet.
A Ruby wrapper around the pHash library for detecting duplicate and near-duplicate images using perceptual hashing.
[Siggraph Asia 2013] Large-Scale, Real-Time 3D Reconstruction
An open-source machine learning system for training autonomous RC cars using computer vision and neural networks.
A curated reading list of papers, datasets, and simulators for embodied vision research, covering navigation, interaction, and reasoning.
Interactive segmentation and tracking tools for microscopy images built on Segment Anything.
A CUDA-accelerated library collection for point cloud processing, providing GPU-optimized alternatives to PCL functions.
Real-time object detection on Android using YOLO with TensorFlow, detecting 20 object classes from the Pascal VOC dataset.
A learning-based approach for moving object segmentation in 3D LiDAR data, distinguishing moving vs. static objects in real-time.
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