Ofer Miller, Ph.D.

Computer Vision . Image processing . Graph Theory Models . Video Analysis

Ph.D. in Computer science | Researcher in Computational Imaging & Signal analysis

Official Website of Ofer Miller עופר מילר

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HONORS AND AWARDS

• "Celia and Marcos Maus" Annual Prize” in Computer Science for outstanding achievements in doctoral research, May 2002.• Excellence Scholarship for Doctoral Students from the Council for Higher Education in the field of high technology, December 2000• Tel Aviv University Award for Excellence in Master’s Studies in Science, June 1999.• Tel Aviv University Scholarship for outstanding Master’s Students in Science, October 1998

Publications (Contribute to Science)

List of Patents

TitleAuthorYearPatent#:
1. "Determine Viewer's exposer to Visual Messages"Ofer Miller201620170169464
2. "Method for logging a user in to a mobile device"Ofer Miller201520150049922
3. Method for rating areas in video framesOfer Miller...20138457402
4. Method and Device for Processing Video FramesOfer Miller...201220120017238
5. System and Method for Enriching Video DataOfer Miller...201120110217022
6. Method for illumination independent change
detection in a pair of registered gray images
Ofer Miller...20067088863
7. Automatic object extractionOfer Miller...20067085401

Research contribution during studies at TLV University

Illumination independent Object based Change Detection Article

עופר מילר שינויים מבוססי אובייקטים


Video Graph based Segmentation of Moving Objects while spatial and temporal information are available.

Video

Still Image Segmentation Based on Adaptive Local Thresholds

עופר מילר סגמנטציה


Tracking of Moving Objects Based on Matching between Graph Edges

עופר מילר מעקב אחרי אובייקטים



Contribution to Artimedia Initiative

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Computer Vision Research Magazine

Latest Intelligence in Computer Vision

A curated visual gateway to leading academic sources in computer vision, computational imaging, image processing, segmentation, video analysis, object detection, and AI-based visual understanding.

Featured Research Feed

Explore the newest academic work shaping visual intelligence

Direct access to current computer vision papers, conference proceedings, benchmarks, datasets, and code resources from leading academic platforms.

Conference Papers

CVPR · ICCV · ECCV · WACV

Open-access proceedings from the leading venues in computer vision research.

Benchmarks & Code

Papers With Code

Track influential papers, datasets, benchmarks, and implementation trends.

Segmentation

Image & Video Segmentation

Semantic segmentation, instance segmentation, object masks, and region-based visual understanding.

Computational Imaging

Imaging Models & Reconstruction

Research connecting optics, signal processing, inverse problems, image formation, and AI reconstruction.

Visual AI

Object Detection & Recognition

Detection, classification, visual representation learning, recognition systems, and model evaluation.

Video Analysis

Temporal Visual Understanding

Tracking, action recognition, video understanding, temporal models, and visual sequence analysis.

3D Vision

Geometry, Depth & 3D Scene Analysis

3D reconstruction, depth estimation, point clouds, neural fields, geometry, and scene understanding.

Graph Vision

Graph-Based Visual Models

Graph models, visual relationships, structured representations, segmentation graphs, and relational vision.

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Computer Vision Industry Innovations

The Industrial World of Computer Vision Products

A visual industry dashboard for smart cameras, edge AI devices, autonomous systems, robotics, medical imaging, quality inspection, retail analytics, and real-world AI vision products.

Industry Focus

Computer vision is moving from research labs into intelligent products

Modern vision products combine sensors, cameras, embedded processors, AI models, and cloud platforms to detect, inspect, measure, track, and understand the physical world.

Market Channels

Smart Cameras · Edge AI · Embedded Vision

Industrial vision products increasingly process data directly on-device for fast, private, low-latency decisions.

Product Direction

From detection to real-time decision systems

Vision products are evolving from passive cameras into active AI systems that understand context and trigger actions.

Smart Cameras

AI Cameras & Embedded Vision

Compact camera systems that run detection, classification, tracking, and analytics directly on the device.

Manufacturing

Quality Inspection & Defect Detection

Computer vision systems inspect products, detect defects, measure geometry, and support automated production lines.

Robotics

Robotic Perception

Robots use vision to localize objects, navigate spaces, estimate depth, grasp items, and interact with environments.

Mobility

Autonomous Vehicles & Driver Assistance

Vision products support lane detection, object recognition, pedestrian detection, driver monitoring, and scene understanding.

Healthcare

Medical Imaging AI

Vision-based AI supports image enhancement, lesion detection, segmentation, triage, and quantitative clinical analysis.

Edge AI

Low-Latency Vision at the Edge

AI accelerators, embedded chips, and optimized models allow real-time visual decisions close to the sensor.

Industry signal: Computer vision products are converging around smart sensors, edge inference, robotics, autonomous mobility, inspection automation, and AI-enhanced imaging.